Advances in Computational Mathematics
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
SCImago
Q1
WOS
Q2
Impact factor
1.7
SJR
0.995
CiteScore
3.0
Categories
Applied Mathematics
Computational Mathematics
Areas
Mathematics
Years of issue
1993-2025
journal names
Advances in Computational Mathematics
ADV COMPUT MATH
Top-3 citing journals

Journal of Computational and Applied Mathematics
(1210 citations)

Advances in Computational Mathematics
(861 citations)

Computers and Mathematics with Applications
(778 citations)
Top-3 organizations

University of Zaragoza
(34 publications)

City University of Hong Kong
(29 publications)

University of Vienna
(28 publications)

University of Vienna
(13 publications)

Max Planck Institute for Dynamics of Complex Technical Systems
(10 publications)

ETH Zurich
(8 publications)
Most cited in 5 years
Found
Publications found: 885
Q3

An UPLC-MS/MS method for determination of karacoline in mice and its pharmacokinetics study
Huang W., Dong X., Lin R., Ma J.
AbstractIn this experiment, ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was employed to quantify karacoline in mouse plasma following both intravenous and oral administration, thereby elucidating the pharmacokinetic characteristics of karacoline in mice. The analytes were extracted from mouse plasma using acetonitrile for protein precipitation. Chromatographic separation was performed on an HSS T3 column via gradient elution, with the mobile phase consisting of methanol and 0.1% formic acid in water. Quantification of karacoline and the internal standard (IS) was achieved using multiple reaction monitoring (MRM) mode. Six mice received an intravenous (i.v.) injection of karacoline at a dose of 1 mg kg−1, while another six mice were administered karacoline orally (p.o.) at a dose of 5 mg kg−1. The calibration curve for karacoline in mouse plasma ranged from 1 ng mL−1 to 2,500 ng mL−1. The intra-day precision was within 10.4%, and the inter-day precision was within 13.0%. Accuracy ranged from 89.1% to 107.5%, with recovery rates between 77.6% and 88.2%. Matrix effects were observed within the range of 77.6%–107.4%. This method successfully estimated the pharmacokinetics of karacoline, and its bioavailability was determined to be 27.2%, these are preliminary studies that require verification on a larger group of animals.
Q3

Ultra-fast eco-friendly UHPLC–MS/MS methodology for the quantification of ASP3026 in human liver microsomes: Evaluation of metabolic stability via in silico software and in vitro metabolic incubation
Attwa M.W., Abdelhameed A.S., Kadi A.A.
AbstractASP3026 is a recently formulated and highly selective inhibitor designed to target the ALK kinase. ASP3026 efficiently inhibited ALK kinase activity and demonstrated superior selectivity at a panel of Tyr-kinases compared to crizotinib. The target of this investigation was to establish a highly accurate, fast, green, and highly sensitive Ultra-high performance liquid chromatography- Tandem mass spectrometry (UHPLC-MS/MS) technique for assessing the concentration of ASP3026 in human liver microsomes (HLMs). In vitro incubation, the metabolic stability of ASP3026 in HLMs was evaluated using this known approach. The validation steps for the UHPLC-MS/MS analytical technique in the HLMs were performed along with the bio-analytical method validation guidelines settled by the US-FDA. To increase the ecological sustainability of the current UHPLC-MS/MS system, a lower flow rate of 0.3 mL min−1, a shorter elution duration of 1 min, and a reduced consumption of ACN have been implemented. A screening of the chemical structure of ASP3026 for hazardous alerts and metabolic lability was performed by the StarDrop package, that includes the DEREK and P450 modules. The analytical separation of ASP3026 and fenebrutinib (FNB) on the reversed phase Eclipse Plus C18 column was performed using an isocratic mobile phase approach. The calibration curve produced by the ASP3026 showed a linear association over the level range of 1–3,000 ng mL−1. A study was conducted to evaluate the precision and accuracy of UHPLC-MS/MS technology in evaluating both intra-day and inter-day variations. The accuracy exhibited a range of −1.56%–7.33% across various days, and a range of −0.78%–10.66% within the same day. The ASP3026 underwent in vitro half-life and intrinsic clearance measurements, yielding values of 14.32 min and 56.62 mL min−1 kg−1, correspondingly. According to in silico software research, using minor modifications to the piperazine component or substituting the group in drug design has the potential to improve the metabolic safety and stability of novel derivatives in comparison to ASP3026.
Q3

Application of a multivariate optimization strategy to validate an RP-HPLC analytical method for determining hydroxychloroquine sulphate in pharmaceutical products and in forced degradation studies
Toti M.C., Bonfilio R., de Araújo M.B.
AbstractIn this study, a multivariate optimization strategy was used to develop and validate a simple, rapid, accurate, cost-effective, and stability-indicative RP-HPLC analytical method for quantifying hydroxychloroquine sulphate (HCQ) in coated tablets. The validation conditions involved isocratic elution mode, using a mixture of buffer solution at pH 2.2 and methanol (74:26, v/v) as the mobile phase, an Agilent® reverse phase column, model Zorbax Eclipse Plus C18 (250 cm × 4.6 mm × 5 μm), a flow rate of 1.3 mL min−1, column temperature 40 °C and detection at 343 nm. The method showed linearity in the range of 4–44 μg mL−1, with a correlation coefficient (R) of 0.9998. Recovery obtained average values of between 99.71 and 100.84% and precision with average RSD values of <2%. The robustness demonstrated by assessing the effect of seven variables (pH of the mobile phase buffer; percentage of methanol; filter brand; mobile phase flow rate; wavelength; column temperature and sample agitation time), with effect values for each variable lower than the calculated value of s√2 (1.43), showed that none of these factors had a significant influence on the analytical response. The method was applied to samples of the reference medicine Plaquinol® 400 mg and similar Reuquinol 400 mg, nomenclature established by the National Health Surveillance Agency (Anvisa), law no. 978 of 10 February 1999, purchased from local pharmacies. Results showed advantages and benefits in relation to the official method and those reported in the literature. The application of the multivariate strategy, the choice of methanol, in a lower proportion in the organic phase, due to its low toxicity, economy and easier availability compared to acetonitrile, and the other organic solvents used was a promising and important alternative for the analytical method. Furthermore, the use of reversed stationary phase, common in quality control laboratories, provided an analyte retention time of 4.595 min, demonstrating good performance and speed in routine analyses.
Q3

A vortex-assisted liquid-liquid extraction followed by dispersive-solid phase extraction (VA-LLE/d-SPE) for the determination of eight benzoylphenylureas insecticides in tomatoes and cucumbers
Alhamami M.A., Algethami J.S., Ramadan M.F., Abdallah O.I.
AbstractMonitoring benzoylphenylureas (BPUs) residues in ready-to-eat vegetables is of great interest for an adequate assessment of human pesticide exposure. A rapid, inexpensive, simple, and effective method for determining 8 BPUs insecticides in tomatoes and cucumbers was developed and validated. Vortex-assisted liquid-liquid extraction (VA-LLE) followed by dispersive solid-phase extraction (d-SPE) using graphitized carbon black (GCB) for cleanup was used before LC-MS/MS analysis. Different parameters were optimized, including the type and volume of extractants, vortex time, and the type and amount of adsorbents used for cleanup. The evaluation showed that the method has excellent linearity (R2 ≥ 0.994). The recovered 8 BPUs insecticides from spiked tomato and cucumber samples at 0.01, 0.05, and 0.25 mg kg−1 ranged from 83.2 to 105.2%, with RSD of 4.9–14.6%. The limits of quantitation (LOQs) were 0.0025 mg kg−1 (0.005 mg kg−1 for lufenuron). Within-day repeatability ranged from 3.9 to 13.9%, while between-day repeatability ranged from 8.9% to 17.7%. The optimized method was used to analyze 100 samples of tomatoes and cucumbers marketed in Saudi Arabia.
Q3

Headspace – Solid phase microextraction vs liquid injection GC-MS analysis of essential oils: Prediction of linear retention indices by multiple linear regression
Hristozova A., Batmazyan M., Simitchiev K., Tsoneva S., Kmetov V., Rosenberg E.
AbstractDue to the relative independence from the operational parameters, the linear retention indices (LRIs) are useful tool in gas chromatography-mass spectrometry (GC-MS) qualitative analysis. The aim of the current study was to develop a multiple linear regression (MLR) model for the prediction of LRIs as a function of selected molecular descriptors. Liquid injection GC-MS was used for the analysis of Essential oils (Rose, Lavender and Peppermint) separating the ingredients by a semi-standard non-polar stationary phase. As a result, a sum of 103 compounds were identified and their experimental LRIs were derived relying on reference measurements of a standard mixture of n-alkanes (from C8 to C20). As a next step, a set of molecular descriptors was generated for the distinguished chemical structures. Further, a stepwise MLR was applied for the selection of the significant descriptors (variables) which can be used to predict the LRIs. From an exploit set of over 2000 molecular descriptors, it was found that only 16 can be regarded as significant and independent variables. At this point split validation was applied: the identified compounds were randomly divided into training (85%) and validation (15%) sets. The training set (87 compounds) was used to derive two MLR models by applying i) the ‘enter’ algorithm (R2 = 0.9960, RMSЕ = 17) and ii) the ‘stepwise’ one (R2 = 0.9958, RMSЕ = 17). The predictive power was assessed by the validation set (16 compounds) as follows i) q2F1 = 0.9896, RMSE = 25 and ii) q2F1 = 0.9886, RMSE = 26, respectively. The adequateness of both regression approaches was further evaluated. Newly developed headspace-solid phase microextraction (HS-SPME) procedures in combination with GC-MS were used for an alternative analysis of the studied Essential oils. Twelve additional compounds, not previously detected by the liquid sample introduction mode of analysis, were identified for which the values of the significant descriptors were within the working range of the developed MLRs. For the last compounds, the LRIs were calculated and the experimental data was used as an external set for assessment of the regression models. The predictive power for both regression approaches was assessed as follows: Enter RMSE = 41, q2F2 = 0.9503 and Stepwise RMSE = 40, q2F2 = 0.9521.
Q3

Development and validation of an analytical method for acetamiprid determination in plant protection products using HPLC-DAD
Marczewska P., Rolnik J., Stobiecki T., Sajewicz M.
AbstractPlant protection products (PPP), crucial for agricultural production, are experiencing increased global demand, particularly with the growing need for food production. To meet this demand, robust analytical methods are essential for confirming the presence and determining active substance concentrations in PPP. This study introduces an analytical method utilizing high-performance liquid chromatography with a diode array detector (HPLC-DAD) for determination of acetamiprid in water-soluble powder formulations. The method, validated according to SANCO/3030/99 rev.5, demonstrated exhibited adequate accuracy and precision, with repeatability expressed as the ratio of the standard deviation (% RSD) to the relative standard deviation (% RSDr) being lower than 1. Recoveries for the active substance at concentrations above 10% ranged from 97% to 103%. The developed method is also characterized by suitable linearity, confirmed by a correlation coefficient >0.99. Specific chromatographic profiles were generated, and acetamiprid content in 180 formulations was analyzed, including reference products. The developed method aligns with “green chemistry” principles, minimizing solvent use and emphasizing energy efficiency. Overall, it offers a comprehensive approach for qualitative and quantitative analysis, ensuring the reliability of PPP quality control.
Q3

Analytical and numerical solutions of linear and nonlinear chromatography column models
Kaczmarski K., Szukiewicz M.K.
AbstractThe advection-convection models (ACM) have practical applications in the investigation of separation processes, where mass (heat) is transferred by convection and diffusion (dispersion) along mass/heat exchanger, eq. adsorption, chromatography column, tubular reactor, etc. The ACM consists of nonlinear partial differential equations which can be solved only with numerical methods. In the article, a comparison of the volume method (VM) and orthogonal collocation on finite elements (OCFE) is presented in terms of their reliability, accuracy of calculations, and speed of calculation. The OCFE proved to be more robust than VM.The linear ACM model for the chromatography column has an analytical solution in the form of the equation for the number of theoretical plates (N). This equation is often applied in the interpretation and evaluation of model parameters. However, the versions of N equation published in the literature are not correct. The error can lead to significant imprecision for specific cases. Here, in the paper, the revised equations are presented and discussed for the most frequently used chromatography column models.
Q3

Methodology for high-performance liquid chromatography detection of latanoprost and latanoprost free acid
Jankowski A.M., Vardar C., Talarico M.V., Wuchte L., Byrne M.E.
AbstractA gradient high-performance liquid chromatography (HPLC) method has been developed to determine the concentrations of latanoprost (LP) and latanoprost free acid (LPA) in aqueous solutions. It is novel due to a combination of its simplicity, speed, and detection capability in aqueous solutions for both active drug (LPA) and prodrug (LP). This method is applicable for the research and development of novel drug delivery devices and quality control assays for experimental and commercial laboratory settings, as it allows for a high sample throughput. Samples were chromatographed across a C18 + 2.7 µm 4.6 × 7.5 mm reversed-phase column with gradient elution using a mobile phase of aqueous acetic acid (pH 3.1) and acetonitrile with 0.1% acetic acid. UV spectrophotometry was used to monitor the eluents at 210 nm. Drug concentrations from 1.0 to 150 μg mL−1 were tested, with good linearity observed across the range. LPA had a signature peak at approximately 4.82 min (SD < 0.08) and LP at 9.27 min (SD < 0.07). For both drug and pro-drug, LOD and LOQ were 1.0 and 2.5 μg mL−1, respectively. This assay which accurately measures both prodrug and drug in a single injection, has significant applicability in determining the release kinetics of novel LP drug delivery systems.
Q3

Identification and structural characterization of potential degradation products of baricitinib using liquid chromatography combined with quadrupole time-of-flight mass spectrometry
Kakouri E., Gkountanas K., Kanakis C., Tarantilis P.A., Dotsikas Y.
AbstractBaricitinib (BRT) is a drug substance with potent anti-inflammatory activity indicated in rheumatoid arthritis, atopic dermatitis, severe alopecia areata and recently for the treatment of Covid-19. Process impurities of the drug during its formulation are quite known, however studies regarding its degradation products (DPs) under stress conditions are limited. In this study, the drug was subjected to forced degradation under various degradation conditions, including acidic hydrolysis, alkaline hydrolysis, oxidative and thermal, to determine its inherent stability. To this purpose, a novel HPLC method was developed for the determination of degradation impurities of BRT. Alkaline hydrolysis test showed a selectivity towards breaking C–C bonds. This resulted to five DPs formed by chain scission reactions occurred at the pyrrolo-pyrimidine group between C6–C10 and C8–C9. Also, the ethylsulfonyl-azetidin-ylidene group was subjected to C–C bond cleavage at C12–C15 and C16–C18. Degradation products were further characterized with the use of liquid chromatography quadrupole time of flight tandem mass spectrometry (LC-Q-TOF-MS/MS).
Q3

Development and validation of a quantitative minilab system for quality evaluation of selected medicines: Albendazole, arthemether-lumefantrine combination (Co-artem®), and mebendazole finished pharmaceutical products
Hasen G., Birhane W., Suleman S., Ashenef A.
AbstractThe current technologies for substandard and counterfeit drug detection are either too expensive for low-resource settings or only provide qualitative or semi-quantitative results. GPHF minilab™ is one of them based on thin layer chromatography(TLC) principles with a semi-quantitative capability by visual observation of the spot area and intensity for medicine quality analysis. Thus, its use as a quality control tool for pharmaceutical products has limitations as spot area and intensity visual observation by the naked eye highly varies from analyst to analyst. As such, in this study, the semi-quantitative technique has been transferred to a quantitative approach by capturing the developed TLC plate image using an Android-based mobile phone inside a simple carton box. Then, the spot area was quantified using justTLC software. The quantitative results were compared with the-high performance liquid chromatography (HPLC) method as the golden standard. Accordingly, linearity was observed in the assayed range (80–120% label claim), and the correlation coefficients found were (R2 = 0.958, 0.997, 0.941, and 0.956 for Albendazole, Mebendazole, Artemether, and Lumefantrine, respectively.). The values are satisfactory. The %RSDs found were less than 2% for all drugs [intraday (n = 6) (RSD = 1.17, 1.61, 1.87, and 1.64), and interday (n = 18) (RSD = 1.16, 0.72, 1.12, and 1.18) for Artemether, Lumefantrine, Mebendazole, and Albendazole, respectively]. Moreover, comparisons of results obtained from the sophisticated CAMAG UV cabinet (R2 =0.991, 0.971, 0.946, and 0.967) and the developed simple carton box (R2 = 0.958, 0.997, 0.941, and 0.956) for Albendazole, Mebendazole, Artemether, and Lumefantrine, respectively. The values are comparable and reveal the accuracy of the method. Robustness testings' that were performed under different altered conditions revealed the robustness of the method (RSD less than 2% for all factors). Additionally the deviations from the golden HPLC results were on average −8.62% for albendazole, −3.79% for artemether, and −4.52% for lumefantrine samples. The developed method shows a satisfactory performance capability to utilize the GPHF minilab™ as a quantitative technique for medicine quality control purposes. It will be a very useful tool in a resource-limited setting. The target method profile, which encompasses a simple, low-cost, linear, precise, robust, accurate, and quantitative GPHF minilab™ system, was obtained for Albendazole, Mebendazole, and Arthemeter lumefantine combinations (Co-artem). The proposed method was successfully applied to analyze the content of the marketed medicines in the above mentioned tablets and offered acceptable deviations from the golden HPLC method. Automation of quantitative GPHF minilab™ was highly recommended to enhance the appropriateness and use of this system.
Q3

Validation of HPLC-DAD method for analysis of paracetamol and potassium sorbate in liquid oral formulations and its application to forced degradation study
Mikulić M., Sazdanić D., Kladar N., Radulović J., Srđenović Čonić B., Atanacković Krstonošić M.
AbstractDue to the frequent use of paracetamol formulations, it is useful to develop an analytical technique for the determination of intact paracetamol in presence of other drugs and excipients or the degradation products. In this study, a simple, isocratic, fast, specific, accurate and precise stability-indicating high performance liquid chromatography (HPLC) method has been developed and validated for simultaneous quantitative determination of paracetamol (PCM) and potassium sorbate (PS) in oral liquid formulations. The chromatographic separation was achieved on Zorbax SB C18 column (150 × 4.6 mm, 5 µm) with Zorbax SB C18 precolumn (12.5 × 4.6 mm, 5 µm) using distilled water pH 2 with ortho-phosphoric acid and acetonitrile (70:30, v/v) as a mobile phase, and UV detection at 235 nm. The temperature of the column was kept constant at 25 °C. The method was validated according to International Conference on harmonization (ICH) guidelines. The method demonstrated excellent linearity, with a correlation coefficient of 0.9996 and 0.9998 for PCM and PS, respectively, over the concentration ranges of 10–600 μg mL−1 (PCM) and 6–500 μg mL−1 (PS). The retention time was found to be 1.98 and 4.86 min for PCM and PS, respectively. Oral liquid formulation samples were subjected to various stress conditions (acidic and alkaline hydrolysis, as well as oxidative, heat and photolytic degradation) for the purpose of forced degradation study. The major degradation of paracetamol was achieved in acidic and basic stress conditions, while thermal and photolytic degradation generally had the least influence. On the other hand, potassium sorbate was highly susceptible to photolytic degradation. It was also shown that the formulation has strong influence on stability of tested compounds. Forced degradation studies demonstrated the stability-indicating power of the method and can be used to assess the stability of paracetamol and potassium sorbate in oral liquid formulations.
Q3

A simple, rapid, and green method for determination of three cholic acids in bio-transformed Jindanfen by HPLC-MS
Qian Z., Huang Q., Wang F., Lei Q., He Z., Wu Q., Wu M., Gao J.
AbstractA simple, rapid, and green high-performance liquid chromatography-mass spectrometry (HPLC-MS) method was developed for determination of tauroursodeoxycholic acid (TUDCA), taurocholic acid (TCA), and taurochenodeoxycholic acid (TCDCA) in bio-transformed Jindanfen (BTJDF), which is obtained from chicken bile through a bioconversion process. The sample was prepared using water. The HPLC separation was operated on a poroshell 120 EC-C18 column with a 2.0 min gradient elution procedure. Detection was performed on a single quadrupole mass spectrometer in negative mode with selected ion monitoring mode (SIM). This developed HPLC-MS method presented good linearity (r > 0.997) and sensitivity (limit of quantification, 30.0–80.0 pg) for three analytes. The relative standard deviations (RSDs) for precision, repeatability, and stability were all below 3.00%. The matrix effects and average recoveries of three analytes were 91.2–97.9% (RSDs < 1.50%) and 95.4–103% (RSDs < 3.00%), respectively. The average contents of TUDCA, TCA, and TCDCA in ten batches of samples were 33.8, 13.2, and 20.5%, respectively. Finally, the greenness of the developed method was validated by Analytical Eco-Scale and Complex-GAPI. The developed method was proved to be an eco-friendly, effective, and reliable approach for assaying the three cholic acids in BTJDF, which is help to improve the quality evaluation level of the BTJDF industry.
Q3

Development of an HPLC-UV method for the simultaneous determination of allantoin and D-panthenol in cosmetic products containing Aloe vera extracts
Ceylan B., Kepekci Tekkeli S.E.
AbstractA simple, fast and selective analytical method has been developed for the simultaneous determination of allantoin and D-panthenol in cosmetic products containing Aloe vera extracts. The proposed method depends on reversed-phase liquid chromatography with isocratic flow profile of the mobile phase composed of acetonitrile–10 mM phosphoric acid (pH 2.5) (85:15, v/v), with a C18 column at 30 °C. The analytes were detected with UV–vis. detector at 210 nm. The injection volume was 20 μL. The linearity ranges were found to be 0.2–20 and 0.1–10 μg mL−1 for allantoin and D-panthenol, respectively. LOD values were found to be 0.07 μg mL−1 and 0.03 μg mL−1, LOQ values were found to be 0.2 and 0.1 μg mL−1 for allantoin and D-panthenol, respectively. No interference was observed from concomitants. The developed method was applied to the analysis of 10 different type cosmetic products. It is foreseen that the method will be able to be used in order to carry out routine analysis, quality control and standardization in cosmetic products containing allantoin and D-panthenol.
Q3

DoE-empowered development and validation of an environmentally sustainable RP-HPLC method for simultaneous estimation of antihypertensive drugs: AQbD perspective
Gopalaiah S.B., Jayaseelan K.
AbstractThe primary objective of the present inquiry is to formulate a sustainable method employing Reverse Phase-High Performance Liquid Chromatography (RP-HPLC) for determination of Amlodipine (AM) and Irbesartan (IRB) simultaneously, compounds commonly prescribed for hypertension treatment. Existing literature underscores the absence of a comprehensive method in this regard. This research endeavors to align with the tenets of green chemistry by seamlessly integrating Analytical Quality by Design (AQbD) with RP-HPLC, replacing environmentally hazardous chemical modifiers with eco-friendly solvents. Identifying the critical variables as the 70% ethanol level and flow rate, a central composite design is applied for optimization. The separation is achieved utilizing a Phenomenex Luna column (C18, 250 mm × 4.6 mm i.d, 5 μm) with a mobile phase comprising ethanol and 0.1 % o-phosphoric acid in a 70:30 v/v ratio, flowing at 0.8 mL min−1, and detection wavelength of 242 nm. Green assessment methodologies are implemented to gauge the adherence of the proposed RP-HPLC method to eco-friendly principles while ensuring efficiency in chromatographic performance. The current developed method is rapid with retention time of 2.3 and 3.3 min for AM and IRB respectively and having a wide linear range from 55 to 130 μg mL−1, which makes the suitable for the accurate quantification of AM and IRB simultaneously in bulk and tablet dosage form, there by minimize environmental impact by providing a conscientious choice for the routine analysis which is achieved through the amalgamation of AQbD with a sustainable approach.
Q3

The effect of different washing methods assisted by ultrasound on the removal of cypermethrin and spirotetramat residues in apples
Suyabatmaz A.M., Yakar Y.
AbstractThe simplest way to remove pesticide residues from fruits and vegetables is to wash them with tap water. However, this method is not effective enough. In this study, the effectiveness of different washing methods assisted by ultrasound on pesticide removal was investigated. For this purpose firstly, apples were soaked in a cypermethrin (CYP) and spirotetramat (SPI) solution, which are frequently used as insecticides. Subsequently, the apples were washed in solutions prepared with vinegar, lemon juice, and baking soda at different concentrations (0.5%, 1% and 2%) and assisted by ultrasound (2.5–5 min). The residues in the medicated and washed samples were analysed on an LC-MS/MS instrument after extraction using the QuEChERS extraction method. The results of the analysis showed that acidic vinegar and lemon juice were more effective than baking soda. Moreover, the application of ultrasound significantly increased this effect. When a 0.5% vinegar solution was assisted by ultrasound, 62% of the cypermethrin residue was removed and 82% of the spirotetramat residue was removed. These values were 51.5% and 49.6% higher than tap water, respectively. In conclusion, acidic solutions such as vinegar, which we can easily prepare at home, are highly effective in removing pesticide residues when assisted by ultrasound.
Top-100
Citing journals
200
400
600
800
1000
1200
1400
|
|
Journal of Computational and Applied Mathematics
1210 citations, 3.34%
|
|
Advances in Computational Mathematics
861 citations, 2.38%
|
|
Computers and Mathematics with Applications
778 citations, 2.15%
|
|
Journal of Computational Physics
741 citations, 2.05%
|
|
Engineering Analysis with Boundary Elements
676 citations, 1.87%
|
|
Applied Mathematics and Computation
669 citations, 1.85%
|
|
Journal of Scientific Computing
654 citations, 1.81%
|
|
Applied Numerical Mathematics
597 citations, 1.65%
|
|
Computer Aided Geometric Design
590 citations, 1.63%
|
|
Computer Methods in Applied Mechanics and Engineering
513 citations, 1.42%
|
|
SIAM Journal on Numerical Analysis
471 citations, 1.3%
|
|
SIAM Journal of Scientific Computing
452 citations, 1.25%
|
|
Applied and Computational Harmonic Analysis
426 citations, 1.18%
|
|
Numerical Algorithms
425 citations, 1.17%
|
|
Lecture Notes in Computer Science
322 citations, 0.89%
|
|
Journal of Approximation Theory
312 citations, 0.86%
|
|
Numerical Methods for Partial Differential Equations
305 citations, 0.84%
|
|
Applied and Numerical Harmonic Analysis
270 citations, 0.75%
|
|
International Journal for Numerical Methods in Engineering
262 citations, 0.72%
|
|
Journal of Mathematical Analysis and Applications
250 citations, 0.69%
|
|
Mathematical Methods in the Applied Sciences
228 citations, 0.63%
|
|
Numerische Mathematik
211 citations, 0.58%
|
|
Mathematics
201 citations, 0.56%
|
|
Mathematics and Computers in Simulation
198 citations, 0.55%
|
|
Linear Algebra and Its Applications
181 citations, 0.5%
|
|
International Journal of Computer Mathematics
179 citations, 0.49%
|
|
IEEE Transactions on Signal Processing
172 citations, 0.48%
|
|
International Journal of Wavelets, Multiresolution and Information Processing
171 citations, 0.47%
|
|
Journal of Fourier Analysis and Applications
164 citations, 0.45%
|
|
Applied Mathematical Modelling
148 citations, 0.41%
|
|
IMA Journal of Numerical Analysis
140 citations, 0.39%
|
|
Communications in Nonlinear Science and Numerical Simulation
137 citations, 0.38%
|
|
Inverse Problems
134 citations, 0.37%
|
|
BIT Numerical Mathematics
133 citations, 0.37%
|
|
Journal of Complexity
130 citations, 0.36%
|
|
Constructive Approximation
127 citations, 0.35%
|
|
Applied Mathematics Letters
127 citations, 0.35%
|
|
ESAIM: Mathematical Modelling and Numerical Analysis
127 citations, 0.35%
|
|
Computational and Applied Mathematics
127 citations, 0.35%
|
|
Physical Review E
114 citations, 0.32%
|
|
IEEE Access
114 citations, 0.32%
|
|
Monthly Notices of the Royal Astronomical Society
108 citations, 0.3%
|
|
IEEE Transactions on Wireless Communications
105 citations, 0.29%
|
|
Lecture Notes in Computational Science and Engineering
103 citations, 0.28%
|
|
IEEE Transactions on Information Theory
96 citations, 0.27%
|
|
Science China Mathematics
96 citations, 0.27%
|
|
Mathematical Problems in Engineering
95 citations, 0.26%
|
|
Mathematics of Computation
93 citations, 0.26%
|
|
Numerical Linear Algebra with Applications
91 citations, 0.25%
|
|
IEEE Transactions on Communications
90 citations, 0.25%
|
|
Physical Review D
90 citations, 0.25%
|
|
Numerical Functional Analysis and Optimization
89 citations, 0.25%
|
|
Computers and Fluids
85 citations, 0.23%
|
|
International Journal for Numerical Methods in Fluids
84 citations, 0.23%
|
|
Calcolo
81 citations, 0.22%
|
|
CAD Computer Aided Design
79 citations, 0.22%
|
|
Physics of Fluids
78 citations, 0.22%
|
|
SIAM Journal on Imaging Sciences
78 citations, 0.22%
|
|
Applicable Analysis
75 citations, 0.21%
|
|
Analysis and Applications
75 citations, 0.21%
|
|
Computer Physics Communications
75 citations, 0.21%
|
|
Neurocomputing
74 citations, 0.2%
|
|
SIAM Journal on Matrix Analysis and Applications
73 citations, 0.2%
|
|
SIAM Journal on Mathematical Analysis
73 citations, 0.2%
|
|
Journal of Inequalities and Applications
72 citations, 0.2%
|
|
Journal of Functional Analysis
71 citations, 0.2%
|
|
AIMS Mathematics
71 citations, 0.2%
|
|
Ocean Engineering
67 citations, 0.19%
|
|
IEEE Transactions on Neural Networks and Learning Systems
66 citations, 0.18%
|
|
SSRN Electronic Journal
63 citations, 0.17%
|
|
Neural Networks
62 citations, 0.17%
|
|
Structural and Multidisciplinary Optimization
62 citations, 0.17%
|
|
Journal of Physics: Conference Series
61 citations, 0.17%
|
|
Mathematical Models and Methods in Applied Sciences
61 citations, 0.17%
|
|
Foundations of Computational Mathematics
61 citations, 0.17%
|
|
ACM Transactions on Graphics
60 citations, 0.17%
|
|
AIP Conference Proceedings
60 citations, 0.17%
|
|
Abstract and Applied Analysis
59 citations, 0.16%
|
|
Computer Graphics Forum
59 citations, 0.16%
|
|
IEEE Transactions on Vehicular Technology
58 citations, 0.16%
|
|
Journal of Physics A: Mathematical and Theoretical
57 citations, 0.16%
|
|
Springer Proceedings in Mathematics and Statistics
56 citations, 0.15%
|
|
International Journal of Computational Methods
55 citations, 0.15%
|
|
Engineering with Computers
54 citations, 0.15%
|
|
SIAM-ASA Journal on Uncertainty Quantification
53 citations, 0.15%
|
|
Inverse Problems in Science and Engineering
52 citations, 0.14%
|
|
Computational Optimization and Applications
51 citations, 0.14%
|
|
Journal of Integral Equations and Applications
50 citations, 0.14%
|
|
Journal of Applied Mathematics and Computing
50 citations, 0.14%
|
|
Computational Mechanics
47 citations, 0.13%
|
|
Physical Review B
47 citations, 0.13%
|
|
IEEE Transactions on Image Processing
46 citations, 0.13%
|
|
Multiscale Modeling and Simulation
45 citations, 0.12%
|
|
Mediterranean Journal of Mathematics
45 citations, 0.12%
|
|
Acta Applicandae Mathematicae
45 citations, 0.12%
|
|
Communications on Applied Mathematics and Computation
45 citations, 0.12%
|
|
SIAM Journal on Optimization
44 citations, 0.12%
|
|
Neural Computation
44 citations, 0.12%
|
|
Journal of Symbolic Computation
43 citations, 0.12%
|
|
Signal Processing
43 citations, 0.12%
|
|
Show all (70 more) | |
200
400
600
800
1000
1200
1400
|
Citing publishers
2000
4000
6000
8000
10000
12000
|
|
Elsevier
11636 citations, 32.16%
|
|
Springer Nature
7813 citations, 21.6%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
3208 citations, 8.87%
|
|
Wiley
1785 citations, 4.93%
|
|
Society for Industrial and Applied Mathematics (SIAM)
1516 citations, 4.19%
|
|
Taylor & Francis
1132 citations, 3.13%
|
|
MDPI
815 citations, 2.25%
|
|
IOP Publishing
615 citations, 1.7%
|
|
World Scientific
573 citations, 1.58%
|
|
Hindawi Limited
443 citations, 1.22%
|
|
American Physical Society (APS)
394 citations, 1.09%
|
|
Oxford University Press
382 citations, 1.06%
|
|
AIP Publishing
376 citations, 1.04%
|
|
Cambridge University Press
297 citations, 0.82%
|
|
American Institute of Mathematical Sciences (AIMS)
285 citations, 0.79%
|
|
Association for Computing Machinery (ACM)
241 citations, 0.67%
|
|
Walter de Gruyter
223 citations, 0.62%
|
|
Pleiades Publishing
205 citations, 0.57%
|
|
EDP Sciences
198 citations, 0.55%
|
|
American Mathematical Society
169 citations, 0.47%
|
|
American Institute of Aeronautics and Astronautics (AIAA)
161 citations, 0.45%
|
|
Science in China Press
116 citations, 0.32%
|
|
SAGE
101 citations, 0.28%
|
|
Institute of Mathematical Statistics
89 citations, 0.25%
|
|
Optica Publishing Group
86 citations, 0.24%
|
|
American Chemical Society (ACS)
83 citations, 0.23%
|
|
ASME International
75 citations, 0.21%
|
|
Emerald
74 citations, 0.2%
|
|
Social Science Electronic Publishing
71 citations, 0.2%
|
|
Institution of Engineering and Technology (IET)
70 citations, 0.19%
|
|
Frontiers Media S.A.
68 citations, 0.19%
|
|
The Royal Society
65 citations, 0.18%
|
|
Steklov Mathematical Institute
60 citations, 0.17%
|
|
Rocky Mountain Mathematics Consortium
58 citations, 0.16%
|
|
American Astronomical Society
54 citations, 0.15%
|
|
Trans Tech Publications
52 citations, 0.14%
|
|
Institute for Operations Research and the Management Sciences (INFORMS)
47 citations, 0.13%
|
|
MIT Press
46 citations, 0.13%
|
|
Public Library of Science (PLoS)
34 citations, 0.09%
|
|
Japan Society of Civil Engineers
33 citations, 0.09%
|
|
American Society of Civil Engineers (ASCE)
32 citations, 0.09%
|
|
Mathematical Sciences Publishers
31 citations, 0.09%
|
|
Cold Spring Harbor Laboratory
29 citations, 0.08%
|
|
SPIE-Intl Soc Optical Eng
25 citations, 0.07%
|
|
Global Science Press
20 citations, 0.06%
|
|
Royal Society of Chemistry (RSC)
19 citations, 0.05%
|
|
American Geophysical Union
17 citations, 0.05%
|
|
Tusi Mathematical Research Group (TMRG)
16 citations, 0.04%
|
|
Canadian Mathematical Society
16 citations, 0.04%
|
|
Copernicus
16 citations, 0.04%
|
|
Alexandria University
15 citations, 0.04%
|
|
Proceedings of the National Academy of Sciences (PNAS)
14 citations, 0.04%
|
|
Acoustical Society of America (ASA)
14 citations, 0.04%
|
|
Hans Publishers
14 citations, 0.04%
|
|
IOS Press
13 citations, 0.04%
|
|
Scientific Research Publishing
13 citations, 0.04%
|
|
Mathematical Society of the Republic of China
11 citations, 0.03%
|
|
American Meteorological Society
10 citations, 0.03%
|
|
Society of Petroleum Engineers
10 citations, 0.03%
|
|
King Saud University
9 citations, 0.02%
|
|
Taehan Suhakhoe
9 citations, 0.02%
|
|
Tech Science Press
9 citations, 0.02%
|
|
World Scientific and Engineering Academy and Society (WSEAS)
9 citations, 0.02%
|
|
Begell House
8 citations, 0.02%
|
|
IGI Global
8 citations, 0.02%
|
|
Society of Exploration Geophysicists
7 citations, 0.02%
|
|
China Science Publishing & Media
7 citations, 0.02%
|
|
Korean Society of Mechanical Engineers
6 citations, 0.02%
|
|
Mary Ann Liebert
6 citations, 0.02%
|
|
Japan Society of Mechanical Engineers
6 citations, 0.02%
|
|
6 citations, 0.02%
|
|
Korean Mathematical Society
6 citations, 0.02%
|
|
Annual Reviews
6 citations, 0.02%
|
|
Institute of Electronics, Information and Communications Engineers (IEICE)
6 citations, 0.02%
|
|
University of Nis
5 citations, 0.01%
|
|
Mathematical Association of America
5 citations, 0.01%
|
|
Lviv Polytechnic National University
5 citations, 0.01%
|
|
Ain Shams University
5 citations, 0.01%
|
|
IntechOpen
5 citations, 0.01%
|
|
The Japan Society for Industrial and Applied Mathematics
5 citations, 0.01%
|
|
American Association for the Advancement of Science (AAAS)
4 citations, 0.01%
|
|
Hacettepe University
4 citations, 0.01%
|
|
4 citations, 0.01%
|
|
Wilmington Scientific Publishers
4 citations, 0.01%
|
|
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
4 citations, 0.01%
|
|
Stockholm University Press
4 citations, 0.01%
|
|
Springer Fachmedien Wiesbaden GmbH
4 citations, 0.01%
|
|
Science Alert
4 citations, 0.01%
|
|
Society of Computer Chemistry, Japan
4 citations, 0.01%
|
|
The Open Journal
4 citations, 0.01%
|
|
Keldysh Institute of Applied Mathematics
4 citations, 0.01%
|
|
SAE International
4 citations, 0.01%
|
|
Research Square Platform LLC
4 citations, 0.01%
|
|
University of California Press
3 citations, 0.01%
|
|
Instrument Society of America
3 citations, 0.01%
|
|
Electromagnetics Academy
3 citations, 0.01%
|
|
Tsinghua University Press
3 citations, 0.01%
|
|
Acoustical Society of Japan
3 citations, 0.01%
|
|
Canadian Science Publishing
3 citations, 0.01%
|
|
FSFEI HE Don State Technical University
3 citations, 0.01%
|
|
Show all (70 more) | |
2000
4000
6000
8000
10000
12000
|
Publishing organizations
5
10
15
20
25
30
35
|
|
University of Zaragoza
34 publications, 1.92%
|
|
City University of Hong Kong
29 publications, 1.64%
|
|
University of Vienna
28 publications, 1.58%
|
|
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
25 publications, 1.41%
|
|
University of Göttingen
25 publications, 1.41%
|
|
Fudan University
21 publications, 1.19%
|
|
University of New South Wales
21 publications, 1.19%
|
|
Texas A&M University
21 publications, 1.19%
|
|
Xi'an Jiaotong University
20 publications, 1.13%
|
|
Max Planck Institute for Dynamics of Complex Technical Systems
20 publications, 1.13%
|
|
National University of Singapore
19 publications, 1.07%
|
|
Technical University of Denmark
18 publications, 1.02%
|
|
University of Stuttgart
18 publications, 1.02%
|
|
Tel Aviv University
17 publications, 0.96%
|
|
École Polytechnique Fédérale de Lausanne
17 publications, 0.96%
|
|
ETH Zurich
17 publications, 0.96%
|
|
Shanghai Normal University
17 publications, 0.96%
|
|
Vienna University of Technology
17 publications, 0.96%
|
|
Vanderbilt University
17 publications, 0.96%
|
|
Syracuse University
16 publications, 0.9%
|
|
New York University
16 publications, 0.9%
|
|
Xiamen University
15 publications, 0.85%
|
|
Virginia Tech
15 publications, 0.85%
|
|
University of Erlangen–Nuremberg
15 publications, 0.85%
|
|
Sun Yat-sen University
14 publications, 0.79%
|
|
University of California, Davis
14 publications, 0.79%
|
|
Xiangtan University
14 publications, 0.79%
|
|
Johannes Kepler University of Linz
14 publications, 0.79%
|
|
University of Nevada, Las Vegas
14 publications, 0.79%
|
|
University of Florence
13 publications, 0.74%
|
|
University of Texas at Austin
13 publications, 0.74%
|
|
Lanzhou University
13 publications, 0.74%
|
|
Chemnitz University of Technology
13 publications, 0.74%
|
|
Beijing Computational Science Research Center
13 publications, 0.74%
|
|
Sorbonne University
12 publications, 0.68%
|
|
Michigan State University
12 publications, 0.68%
|
|
Korea Advanced Institute of Science and Technology
12 publications, 0.68%
|
|
Technical University of Berlin
12 publications, 0.68%
|
|
RWTH Aachen University
12 publications, 0.68%
|
|
Technical University of Darmstadt
12 publications, 0.68%
|
|
Weierstrass Institute for Applied Analysis and Stochastics
12 publications, 0.68%
|
|
University of Alberta
12 publications, 0.68%
|
|
Katholieke Universiteit Leuven
11 publications, 0.62%
|
|
Nankai University
11 publications, 0.62%
|
|
University of Milano-Bicocca
11 publications, 0.62%
|
|
University of Oslo
11 publications, 0.62%
|
|
Justus Liebig University Giessen
11 publications, 0.62%
|
|
University of Mannheim
11 publications, 0.62%
|
|
Zhejiang University
10 publications, 0.57%
|
|
Jilin University
10 publications, 0.57%
|
|
University of Dundee
10 publications, 0.57%
|
|
Shanghai University
10 publications, 0.57%
|
|
Massachusetts Institute of Technology
10 publications, 0.57%
|
|
University of Minnesota
10 publications, 0.57%
|
|
Purdue University
10 publications, 0.57%
|
|
Technical University of Munich
9 publications, 0.51%
|
|
South China Normal University
9 publications, 0.51%
|
|
University of Cambridge
9 publications, 0.51%
|
|
William Marsh Rice University
9 publications, 0.51%
|
|
Hong Kong Baptist University
9 publications, 0.51%
|
|
Shandong University
9 publications, 0.51%
|
|
University of Michigan
9 publications, 0.51%
|
|
Otto-von-Guericke University Magdeburg
9 publications, 0.51%
|
|
University of Kaiserslautern-Landau
9 publications, 0.51%
|
|
University of Colorado Boulder
9 publications, 0.51%
|
|
University of Chinese Academy of Sciences
8 publications, 0.45%
|
|
Peking University
8 publications, 0.45%
|
|
Technion – Israel Institute of Technology
8 publications, 0.45%
|
|
Aix-Marseille University
8 publications, 0.45%
|
|
Grenoble Alpes University
8 publications, 0.45%
|
|
Delft University of Technology
8 publications, 0.45%
|
|
Nanyang Technological University
8 publications, 0.45%
|
|
Brunel University London
8 publications, 0.45%
|
|
University of Oxford
8 publications, 0.45%
|
|
University of Manchester
8 publications, 0.45%
|
|
Florida State University
8 publications, 0.45%
|
|
Arizona State University
8 publications, 0.45%
|
|
University of Central Florida
8 publications, 0.45%
|
|
Wayne State University
8 publications, 0.45%
|
|
Johann Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences
8 publications, 0.45%
|
|
University of Leicester
8 publications, 0.45%
|
|
University of Delaware
8 publications, 0.45%
|
|
Université de Lille
8 publications, 0.45%
|
|
Indian Institute of Technology Bombay
7 publications, 0.4%
|
|
Beijing Normal University
7 publications, 0.4%
|
|
Beihang University
7 publications, 0.4%
|
|
KTH Royal Institute of Technology
7 publications, 0.4%
|
|
Southeast University
7 publications, 0.4%
|
|
University of Bologna
7 publications, 0.4%
|
|
University of Turin
7 publications, 0.4%
|
|
University of Pavia
7 publications, 0.4%
|
|
University of L'Aquila
7 publications, 0.4%
|
|
University of Western Australia
7 publications, 0.4%
|
|
Stanford University
7 publications, 0.4%
|
|
West Virginia University
7 publications, 0.4%
|
|
Illinois Institute of Technology
7 publications, 0.4%
|
|
University of Seville
7 publications, 0.4%
|
|
Simon Fraser University
7 publications, 0.4%
|
|
Hamburg University
7 publications, 0.4%
|
|
Colorado School of Mines
7 publications, 0.4%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
|
Publishing organizations in 5 years
2
4
6
8
10
12
14
|
|
University of Vienna
13 publications, 2.72%
|
|
Max Planck Institute for Dynamics of Complex Technical Systems
10 publications, 2.09%
|
|
ETH Zurich
8 publications, 1.67%
|
|
Fudan University
7 publications, 1.46%
|
|
École Polytechnique Fédérale de Lausanne
7 publications, 1.46%
|
|
Technical University of Berlin
7 publications, 1.46%
|
|
University of Texas at Austin
7 publications, 1.46%
|
|
Technical University of Darmstadt
7 publications, 1.46%
|
|
Beijing Normal University
6 publications, 1.26%
|
|
Xi'an Jiaotong University
6 publications, 1.26%
|
|
South China Normal University
6 publications, 1.26%
|
|
Xiamen University
6 publications, 1.26%
|
|
Sorbonne University
6 publications, 1.26%
|
|
University of Pavia
6 publications, 1.26%
|
|
Virginia Tech
6 publications, 1.26%
|
|
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
6 publications, 1.26%
|
|
Otto-von-Guericke University Magdeburg
6 publications, 1.26%
|
|
Johannes Kepler University of Linz
6 publications, 1.26%
|
|
Tel Aviv University
5 publications, 1.05%
|
|
Jilin University
5 publications, 1.05%
|
|
KTH Royal Institute of Technology
5 publications, 1.05%
|
|
Southeast University
5 publications, 1.05%
|
|
Delft University of Technology
5 publications, 1.05%
|
|
University of Oxford
5 publications, 1.05%
|
|
Shaanxi University of Science and Technology
5 publications, 1.05%
|
|
University of L'Aquila
5 publications, 1.05%
|
|
Shandong University
5 publications, 1.05%
|
|
Vienna University of Technology
5 publications, 1.05%
|
|
Xiangtan University
5 publications, 1.05%
|
|
Chemnitz University of Technology
5 publications, 1.05%
|
|
Beijing Computational Science Research Center
5 publications, 1.05%
|
|
University of Stuttgart
5 publications, 1.05%
|
|
Johann Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences
5 publications, 1.05%
|
|
Université Côte d'Azur
5 publications, 1.05%
|
|
Université Paris-Saclay
5 publications, 1.05%
|
|
King Abdullah University of Science and Technology
4 publications, 0.84%
|
|
Peking University
4 publications, 0.84%
|
|
Aix-Marseille University
4 publications, 0.84%
|
|
Central South University
4 publications, 0.84%
|
|
Polytechnic University of Turin
4 publications, 0.84%
|
|
Imperial College London
4 publications, 0.84%
|
|
University of Florence
4 publications, 0.84%
|
|
Boston University
4 publications, 0.84%
|
|
Lanzhou University
4 publications, 0.84%
|
|
University of North Carolina at Chapel Hill
4 publications, 0.84%
|
|
Indian Institute of Technology Madras
3 publications, 0.63%
|
|
Indian Institute of Technology Delhi
3 publications, 0.63%
|
|
Zhejiang University
3 publications, 0.63%
|
|
Harbin Institute of Technology
3 publications, 0.63%
|
|
Sichuan University
3 publications, 0.63%
|
|
Northwestern Polytechnical University
3 publications, 0.63%
|
|
Katholieke Universiteit Leuven
3 publications, 0.63%
|
|
Technical University of Munich
3 publications, 0.63%
|
|
Indian Institute of Space Science and Technology
3 publications, 0.63%
|
|
Nanjing University of Aeronautics and Astronautics
3 publications, 0.63%
|
|
Nanjing Normal University
3 publications, 0.63%
|
|
Beijing University of Technology
3 publications, 0.63%
|
|
Wuhan University
3 publications, 0.63%
|
|
Chongqing University
3 publications, 0.63%
|
|
Southwest University
3 publications, 0.63%
|
|
Ocean University of China
3 publications, 0.63%
|
|
University of New South Wales
3 publications, 0.63%
|
|
Hunan Normal University
3 publications, 0.63%
|
|
Polytechnic University of Milan
3 publications, 0.63%
|
|
University of Bologna
3 publications, 0.63%
|
|
Shenzhen University
3 publications, 0.63%
|
|
Shandong Normal University
3 publications, 0.63%
|
|
Tianjin University
3 publications, 0.63%
|
|
Shanghai Normal University
3 publications, 0.63%
|
|
University of Southern Denmark
3 publications, 0.63%
|
|
National University of Singapore
3 publications, 0.63%
|
|
University of Salerno
3 publications, 0.63%
|
|
Yantai University
3 publications, 0.63%
|
|
Institute of Applied Mathematics and Information Technologies
3 publications, 0.63%
|
|
Gran Sasso Science Institute
3 publications, 0.63%
|
|
Monash University
3 publications, 0.63%
|
|
Korea Advanced Institute of Science and Technology
3 publications, 0.63%
|
|
City University of Hong Kong
3 publications, 0.63%
|
|
Hong Kong Baptist University
3 publications, 0.63%
|
|
New York University
3 publications, 0.63%
|
|
Zhejiang Sci-Tech University
3 publications, 0.63%
|
|
Henan University
3 publications, 0.63%
|
|
New Jersey Institute of Technology
3 publications, 0.63%
|
|
Yunnan University of Finance and Economics
3 publications, 0.63%
|
|
Yunnan University
3 publications, 0.63%
|
|
Wayne State University
3 publications, 0.63%
|
|
University of Michigan
3 publications, 0.63%
|
|
Guilin University of Electronic Technology
3 publications, 0.63%
|
|
University of Seville
3 publications, 0.63%
|
|
University of Minnesota
3 publications, 0.63%
|
|
Justus Liebig University Giessen
3 publications, 0.63%
|
|
University of Kaiserslautern-Landau
3 publications, 0.63%
|
|
University of Zaragoza
3 publications, 0.63%
|
|
University of Santiago de Compostela
3 publications, 0.63%
|
|
University of Colorado Boulder
3 publications, 0.63%
|
|
University of Delaware
3 publications, 0.63%
|
|
University of Bath
3 publications, 0.63%
|
|
Skolkovo Institute of Science and Technology
2 publications, 0.42%
|
|
Ton Duc Thang University
2 publications, 0.42%
|
|
University of Chinese Academy of Sciences
2 publications, 0.42%
|
|
Show all (70 more) | |
2
4
6
8
10
12
14
|
Publishing countries
50
100
150
200
250
300
350
400
450
500
|
|
USA
|
USA, 475, 26.87%
USA
475 publications, 26.87%
|
China
|
China, 423, 23.93%
China
423 publications, 23.93%
|
Germany
|
Germany, 283, 16.01%
Germany
283 publications, 16.01%
|
France
|
France, 114, 6.45%
France
114 publications, 6.45%
|
Italy
|
Italy, 106, 6%
Italy
106 publications, 6%
|
United Kingdom
|
United Kingdom, 101, 5.71%
United Kingdom
101 publications, 5.71%
|
Spain
|
Spain, 93, 5.26%
Spain
93 publications, 5.26%
|
Austria
|
Austria, 68, 3.85%
Austria
68 publications, 3.85%
|
Canada
|
Canada, 45, 2.55%
Canada
45 publications, 2.55%
|
Australia
|
Australia, 41, 2.32%
Australia
41 publications, 2.32%
|
Switzerland
|
Switzerland, 41, 2.32%
Switzerland
41 publications, 2.32%
|
Republic of Korea
|
Republic of Korea, 33, 1.87%
Republic of Korea
33 publications, 1.87%
|
Israel
|
Israel, 30, 1.7%
Israel
30 publications, 1.7%
|
Norway
|
Norway, 30, 1.7%
Norway
30 publications, 1.7%
|
Denmark
|
Denmark, 27, 1.53%
Denmark
27 publications, 1.53%
|
Singapore
|
Singapore, 27, 1.53%
Singapore
27 publications, 1.53%
|
Netherlands
|
Netherlands, 25, 1.41%
Netherlands
25 publications, 1.41%
|
India
|
India, 24, 1.36%
India
24 publications, 1.36%
|
Brazil
|
Brazil, 23, 1.3%
Brazil
23 publications, 1.3%
|
Chile
|
Chile, 21, 1.19%
Chile
21 publications, 1.19%
|
Belgium
|
Belgium, 19, 1.07%
Belgium
19 publications, 1.07%
|
Sweden
|
Sweden, 18, 1.02%
Sweden
18 publications, 1.02%
|
Czech Republic
|
Czech Republic, 16, 0.9%
Czech Republic
16 publications, 0.9%
|
Poland
|
Poland, 15, 0.85%
Poland
15 publications, 0.85%
|
Russia
|
Russia, 14, 0.79%
Russia
14 publications, 0.79%
|
Vietnam
|
Vietnam, 14, 0.79%
Vietnam
14 publications, 0.79%
|
Morocco
|
Morocco, 11, 0.62%
Morocco
11 publications, 0.62%
|
Saudi Arabia
|
Saudi Arabia, 11, 0.62%
Saudi Arabia
11 publications, 0.62%
|
Japan
|
Japan, 10, 0.57%
Japan
10 publications, 0.57%
|
Portugal
|
Portugal, 9, 0.51%
Portugal
9 publications, 0.51%
|
Iran
|
Iran, 8, 0.45%
Iran
8 publications, 0.45%
|
Ireland
|
Ireland, 8, 0.45%
Ireland
8 publications, 0.45%
|
Finland
|
Finland, 8, 0.45%
Finland
8 publications, 0.45%
|
Argentina
|
Argentina, 7, 0.4%
Argentina
7 publications, 0.4%
|
Greece
|
Greece, 7, 0.4%
Greece
7 publications, 0.4%
|
Mexico
|
Mexico, 7, 0.4%
Mexico
7 publications, 0.4%
|
Turkey
|
Turkey, 7, 0.4%
Turkey
7 publications, 0.4%
|
Colombia
|
Colombia, 6, 0.34%
Colombia
6 publications, 0.34%
|
Armenia
|
Armenia, 5, 0.28%
Armenia
5 publications, 0.28%
|
Croatia
|
Croatia, 5, 0.28%
Croatia
5 publications, 0.28%
|
South Africa
|
South Africa, 5, 0.28%
South Africa
5 publications, 0.28%
|
Ukraine
|
Ukraine, 4, 0.23%
Ukraine
4 publications, 0.23%
|
Bulgaria
|
Bulgaria, 4, 0.23%
Bulgaria
4 publications, 0.23%
|
Cyprus
|
Cyprus, 4, 0.23%
Cyprus
4 publications, 0.23%
|
Romania
|
Romania, 4, 0.23%
Romania
4 publications, 0.23%
|
Slovenia
|
Slovenia, 4, 0.23%
Slovenia
4 publications, 0.23%
|
New Zealand
|
New Zealand, 3, 0.17%
New Zealand
3 publications, 0.17%
|
Serbia
|
Serbia, 3, 0.17%
Serbia
3 publications, 0.17%
|
Slovakia
|
Slovakia, 3, 0.17%
Slovakia
3 publications, 0.17%
|
Thailand
|
Thailand, 3, 0.17%
Thailand
3 publications, 0.17%
|
Algeria
|
Algeria, 2, 0.11%
Algeria
2 publications, 0.11%
|
Hungary
|
Hungary, 2, 0.11%
Hungary
2 publications, 0.11%
|
Cameroon
|
Cameroon, 2, 0.11%
Cameroon
2 publications, 0.11%
|
Qatar
|
Qatar, 2, 0.11%
Qatar
2 publications, 0.11%
|
Lebanon
|
Lebanon, 2, 0.11%
Lebanon
2 publications, 0.11%
|
Lithuania
|
Lithuania, 2, 0.11%
Lithuania
2 publications, 0.11%
|
Malaysia
|
Malaysia, 2, 0.11%
Malaysia
2 publications, 0.11%
|
Pakistan
|
Pakistan, 2, 0.11%
Pakistan
2 publications, 0.11%
|
Philippines
|
Philippines, 2, 0.11%
Philippines
2 publications, 0.11%
|
Estonia
|
Estonia, 1, 0.06%
Estonia
1 publication, 0.06%
|
Azerbaijan
|
Azerbaijan, 1, 0.06%
Azerbaijan
1 publication, 0.06%
|
Brunei
|
Brunei, 1, 0.06%
Brunei
1 publication, 0.06%
|
Venezuela
|
Venezuela, 1, 0.06%
Venezuela
1 publication, 0.06%
|
Georgia
|
Georgia, 1, 0.06%
Georgia
1 publication, 0.06%
|
Egypt
|
Egypt, 1, 0.06%
Egypt
1 publication, 0.06%
|
Indonesia
|
Indonesia, 1, 0.06%
Indonesia
1 publication, 0.06%
|
Iraq
|
Iraq, 1, 0.06%
Iraq
1 publication, 0.06%
|
Kuwait
|
Kuwait, 1, 0.06%
Kuwait
1 publication, 0.06%
|
Luxembourg
|
Luxembourg, 1, 0.06%
Luxembourg
1 publication, 0.06%
|
Oman
|
Oman, 1, 0.06%
Oman
1 publication, 0.06%
|
Paraguay
|
Paraguay, 1, 0.06%
Paraguay
1 publication, 0.06%
|
Puerto Rico
|
Puerto Rico, 1, 0.06%
Puerto Rico
1 publication, 0.06%
|
Tunisia
|
Tunisia, 1, 0.06%
Tunisia
1 publication, 0.06%
|
Ecuador
|
Ecuador, 1, 0.06%
Ecuador
1 publication, 0.06%
|
Show all (44 more) | |
50
100
150
200
250
300
350
400
450
500
|
Publishing countries in 5 years
20
40
60
80
100
120
140
160
|
|
China
|
China, 157, 32.85%
China
157 publications, 32.85%
|
USA
|
USA, 89, 18.62%
USA
89 publications, 18.62%
|
Germany
|
Germany, 65, 13.6%
Germany
65 publications, 13.6%
|
Italy
|
Italy, 39, 8.16%
Italy
39 publications, 8.16%
|
France
|
France, 33, 6.9%
France
33 publications, 6.9%
|
Austria
|
Austria, 27, 5.65%
Austria
27 publications, 5.65%
|
United Kingdom
|
United Kingdom, 20, 4.18%
United Kingdom
20 publications, 4.18%
|
Switzerland
|
Switzerland, 17, 3.56%
Switzerland
17 publications, 3.56%
|
Spain
|
Spain, 13, 2.72%
Spain
13 publications, 2.72%
|
Australia
|
Australia, 11, 2.3%
Australia
11 publications, 2.3%
|
India
|
India, 11, 2.3%
India
11 publications, 2.3%
|
Netherlands
|
Netherlands, 10, 2.09%
Netherlands
10 publications, 2.09%
|
Brazil
|
Brazil, 9, 1.88%
Brazil
9 publications, 1.88%
|
Sweden
|
Sweden, 9, 1.88%
Sweden
9 publications, 1.88%
|
Chile
|
Chile, 8, 1.67%
Chile
8 publications, 1.67%
|
Israel
|
Israel, 7, 1.46%
Israel
7 publications, 1.46%
|
Canada
|
Canada, 7, 1.46%
Canada
7 publications, 1.46%
|
Vietnam
|
Vietnam, 6, 1.26%
Vietnam
6 publications, 1.26%
|
Finland
|
Finland, 6, 1.26%
Finland
6 publications, 1.26%
|
Belgium
|
Belgium, 5, 1.05%
Belgium
5 publications, 1.05%
|
Colombia
|
Colombia, 5, 1.05%
Colombia
5 publications, 1.05%
|
Morocco
|
Morocco, 5, 1.05%
Morocco
5 publications, 1.05%
|
Republic of Korea
|
Republic of Korea, 5, 1.05%
Republic of Korea
5 publications, 1.05%
|
Saudi Arabia
|
Saudi Arabia, 5, 1.05%
Saudi Arabia
5 publications, 1.05%
|
Singapore
|
Singapore, 5, 1.05%
Singapore
5 publications, 1.05%
|
Russia
|
Russia, 4, 0.84%
Russia
4 publications, 0.84%
|
Denmark
|
Denmark, 4, 0.84%
Denmark
4 publications, 0.84%
|
Poland
|
Poland, 3, 0.63%
Poland
3 publications, 0.63%
|
Japan
|
Japan, 3, 0.63%
Japan
3 publications, 0.63%
|
Portugal
|
Portugal, 2, 0.42%
Portugal
2 publications, 0.42%
|
Algeria
|
Algeria, 2, 0.42%
Algeria
2 publications, 0.42%
|
Argentina
|
Argentina, 2, 0.42%
Argentina
2 publications, 0.42%
|
Iran
|
Iran, 2, 0.42%
Iran
2 publications, 0.42%
|
Cameroon
|
Cameroon, 2, 0.42%
Cameroon
2 publications, 0.42%
|
Qatar
|
Qatar, 2, 0.42%
Qatar
2 publications, 0.42%
|
Lebanon
|
Lebanon, 2, 0.42%
Lebanon
2 publications, 0.42%
|
Norway
|
Norway, 2, 0.42%
Norway
2 publications, 0.42%
|
Thailand
|
Thailand, 2, 0.42%
Thailand
2 publications, 0.42%
|
Turkey
|
Turkey, 2, 0.42%
Turkey
2 publications, 0.42%
|
Croatia
|
Croatia, 2, 0.42%
Croatia
2 publications, 0.42%
|
Ukraine
|
Ukraine, 1, 0.21%
Ukraine
1 publication, 0.21%
|
Azerbaijan
|
Azerbaijan, 1, 0.21%
Azerbaijan
1 publication, 0.21%
|
Armenia
|
Armenia, 1, 0.21%
Armenia
1 publication, 0.21%
|
Mexico
|
Mexico, 1, 0.21%
Mexico
1 publication, 0.21%
|
Pakistan
|
Pakistan, 1, 0.21%
Pakistan
1 publication, 0.21%
|
Paraguay
|
Paraguay, 1, 0.21%
Paraguay
1 publication, 0.21%
|
Slovenia
|
Slovenia, 1, 0.21%
Slovenia
1 publication, 0.21%
|
Philippines
|
Philippines, 1, 0.21%
Philippines
1 publication, 0.21%
|
Czech Republic
|
Czech Republic, 1, 0.21%
Czech Republic
1 publication, 0.21%
|
South Africa
|
South Africa, 1, 0.21%
South Africa
1 publication, 0.21%
|
Show all (20 more) | |
20
40
60
80
100
120
140
160
|
1 profile journal article
Fishelov David
40 publications,
423 citations
h-index: 12
1 profile journal article
Toutounian Faezeh
🥼
63 publications,
433 citations
h-index: 11
1 profile journal article
Real Pedro
104 publications,
550 citations
h-index: 14
1 profile journal article
Hrkac Gino
105 publications,
2 960 citations
h-index: 30
1 profile journal article
Francisco Manuel
107 publications,
1 364 citations
h-index: 19