University of Évry Val d'Essonne

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University of Évry Val d'Essonne
Short name
UEVE
Country, city
France, Évry-Courcouronnes
Publications
2 462
Citations
95 959
h-index
127
Top-3 journals
Top-3 organizations
Université Paris-Saclay
Université Paris-Saclay (346 publications)
Sorbonne University
Sorbonne University (268 publications)
Paris Cité University
Paris Cité University (177 publications)
Top-3 foreign organizations
Sapienza University of Rome
Sapienza University of Rome (31 publications)
University of Sfax
University of Sfax (27 publications)

Most cited in 5 years

Ouldali H., Sarthak K., Ensslen T., Piguet F., Manivet P., Pelta J., Behrends J.C., Aksimentiev A., Oukhaled A.
Nature Biotechnology scimago Q1 wos Q1
2019-12-16 citations by CoLab: 363 Abstract  
Efforts to sequence single protein molecules in nanopores1–5 have been hampered by the lack of techniques with sufficient sensitivity to discern the subtle molecular differences among all twenty amino acids. Here we report ionic current detection of all twenty proteinogenic amino acids in an aerolysin nanopore with the help of a short polycationic carrier. Application of molecular dynamics simulations revealed that the aerolysin nanopore has a built-in single-molecule trap that fully confines a polycationic carrier-bound amino acid inside the sensing region of the aerolysin. This structural feature means that each amino acid spends sufficient time in the pore for sensitive measurement of the excluded volume of the amino acid. We show that distinct current blockades in wild-type aerolysin can be used to identify 13 of the 20 natural amino acids. Furthermore, we show that chemical modifications, instrumentation advances and nanopore engineering offer a route toward identification of the remaining seven amino acids. These findings may pave the way to nanopore protein sequencing. Individual amino acids fused to a highly charged heptapeptide are discriminated in an aerolysin nanopore.
Gautreau G., Bazin A., Gachet M., Planel R., Burlot L., Dubois M., Perrin A., Médigue C., Calteau A., Cruveiller S., Matias C., Ambroise C., Rocha E.P., Vallenet D.
PLoS Computational Biology scimago Q1 wos Q1 Open Access
2020-03-19 citations by CoLab: 151 PDF Abstract  
The use of comparative genomics for functional, evolutionary, and epidemiological studies requires methods to classify gene families in terms of occurrence in a given species. These methods usually lack multivariate statistical models to infer the partitions and the optimal number of classes and don’t account for genome organization. We introduce a graph structure to model pangenomes in which nodes represent gene families and edges represent genomic neighborhood. Our method, named PPanGGOLiN, partitions nodes using an Expectation-Maximization algorithm based on multivariate Bernoulli Mixture Model coupled with a Markov Random Field. This approach takes into account the topology of the graph and the presence/absence of genes in pangenomes to classify gene families into persistent, cloud, and one or several shell partitions. By analyzing the partitioned pangenome graphs of isolate genomes from 439 species and metagenome-assembled genomes from 78 species, we demonstrate that our method is effective in estimating the persistent genome. Interestingly, it shows that the shell genome is a key element to understand genome dynamics, presumably because it reflects how genes present at intermediate frequencies drive adaptation of species, and its proportion in genomes is independent of genome size. The graph-based approach proposed by PPanGGOLiN is useful to depict the overall genomic diversity of thousands of strains in a compact structure and provides an effective basis for very large scale comparative genomics. The software is freely available at https://github.com/labgem/PPanGGOLiN.
Patra S., Germann M., Karr J.-., Haidar M., Hilico L., Korobov V.I., Cozijn F.M., Eikema K.S., Ubachs W., Koelemeij J.C.
Science scimago Q1 wos Q1 Open Access
2020-09-04 citations by CoLab: 115 PDF Abstract  
A very precise ratio The value of the ratio of the masses of the proton and the electron has a bearing on the values of other physical constants. This ratio is known to a very high precision. Patra et al. improved this precision even further by measuring particular frequencies in the rovibrational spectrum of the hydrogen deuteride molecular ion (HD + ) (see the Perspective by Hori). To reach this high precision, the researchers placed the HD + molecules in an ion trap and surrounded them by beryllium ions. The cold beryllium ions then helped cool the HD + molecules, making the HD + spectral lines narrow enough that the proton-electron mass ratio could be extracted by comparison with theoretical predictions. Science , this issue p. 1238 ; see also p. 1160
Lallemand T., Leduc M., Landès C., Rizzon C., Lerat E.
Genes scimago Q2 wos Q2 Open Access
2020-09-04 citations by CoLab: 85 PDF Abstract  
Gene duplication is an important evolutionary mechanism allowing to provide new genetic material and thus opportunities to acquire new gene functions for an organism, with major implications such as speciation events. Various processes are known to allow a gene to be duplicated and different models explain how duplicated genes can be maintained in genomes. Due to their particular importance, the identification of duplicated genes is essential when studying genome evolution but it can still be a challenge due to the various fates duplicated genes can encounter. In this review, we first describe the evolutionary processes allowing the formation of duplicated genes but also describe the various bioinformatic approaches that can be used to identify them in genome sequences. Indeed, these bioinformatic approaches differ according to the underlying duplication mechanism. Hence, understanding the specificity of the duplicated genes of interest is a great asset for tool selection and should be taken into account when exploring a biological question.
Gordon S.P., Contreras-Moreira B., Levy J.J., Djamei A., Czedik-Eysenberg A., Tartaglio V.S., Session A., Martin J., Cartwright A., Katz A., Singan V.R., Goltsman E., Barry K., Dinh-Thi V.H., Chalhoub B., et. al.
Nature Communications scimago Q1 wos Q1 Open Access
2020-07-29 citations by CoLab: 82 PDF Abstract  
Our understanding of polyploid genome evolution is constrained because we cannot know the exact founders of a particular polyploid. To differentiate between founder effects and post polyploidization evolution, we use a pan-genomic approach to study the allotetraploid Brachypodium hybridum and its diploid progenitors. Comparative analysis suggests that most B. hybridum whole gene presence/absence variation is part of the standing variation in its diploid progenitors. Analysis of nuclear single nucleotide variants, plastomes and k-mers associated with retrotransposons reveals two independent origins for B. hybridum, ~1.4 and ~0.14 million years ago. Examination of gene expression in the younger B. hybridum lineage reveals no bias in overall subgenome expression. Our results are consistent with a gradual accumulation of genomic changes after polyploidization and a lack of subgenome expression dominance. Significantly, if we did not use a pan-genomic approach, we would grossly overestimate the number of genomic changes attributable to post polyploidization evolution. Existing plant pan-genomic studies usually report considerable intraspecific whole gene presence-absence variation. Here, the authors use pan-genomic approach to reveal gradual polyploid genome evolution by analyzing of Brachypodium hybridum and its diploid progenitors.
Tuladhar A., Dewan S., Pezzotti S., Brigiano F.S., Creazzo F., Gaigeot M., Borguet E.
2020-04-01 citations by CoLab: 70 Abstract  
The structure and ultrafast dynamics of the electric double layer (EDL) are central to chemical reactivity and physical properties at solid/aqueous interfaces. While the Gouy-Chapman-Stern model is widely used to describe EDLs, it is solely based on the macroscopic electrostatic attraction of electrolytes for the charged surfaces. Structure and dynamics in the Stern layer are, however, more complex because of competing effects due to the localized surface charge distribution, surface-solvent-ion correlations, and the interfacial hydrogen bonding environment. Here, we report combined time-resolved vibrational sum frequency generation (TR-vSFG) spectroscopy with ab initio DFT-based molecular dynamics simulations (AIMD/DFT-MD) to get direct access to the molecular-level understanding of how ions change the structure and dynamics of the EDL. We show that innersphere adsorbed ions tune the hydrophobicity of the silica-aqueous interface by shifting the structural makeup in the Stern layer from dominant water-surface interactions to water-water interactions. This drives an initially inhomogeneous interfacial water coordination landscape observed at the neat interface toward a homogeneous, highly interconnected in-plane 2D hydrogen bonding (2D-HB) network at the ionic interface, reminiscent of the canonical, hydrophobic air-water interface. This ion-induced transformation results in a characteristic decrease of the vibrational lifetime (T1) of excited interfacial O-H stretching modes from T1 ∼ 600 fs to T1 ∼ 250 fs. Hence, we propose that the T1 determined by TR-vSFG in combination with DFT-MD simulations can be widely used for a quantitative spectroscopic probe of the ion kosmotropic/chaotropic effect at aqueous interfaces as well as of the ion-induced surface hydrophobicity.
Kettani M., Bandelier P.
Desalination scimago Q1 wos Q1
2020-11-01 citations by CoLab: 62 Abstract  
This paper examines the cost competitiveness of an extra-large-scale (275,000 m3/d) solar-powered desalination, taking as a case study the Chtouka Ait Baha plant in Morocco. It assesses the conditions at which solar Photovoltaics (PV) and Concentrated Solar Power (CSP) would be competitive with a grid (mainly fossil) driven desalination plant for the reference year and by 2030. The paper considers also a scenario where battery storage complements PV power generation. To conduct the analysis, a simple model of water cost calculation is built. Second, the cost related to energy consumption is calculated for different power supply options to evaluate the impact of energy provision cost on the final cost of water. The first main result of this paper is that desalinated water can be obtained at an acceptable cost of around 1 $/m3. The second one is that PV without storage remains the cheapest power supply option today and by 2030. Storage based solution appears less competitive today but can be more attractive in a framework of increasing electricity grid prices and higher flexibility requirements in the future. The paper gives recommendations regarding the implication of different technology choices in the framework of the future Moroccan energy system.
Bakels S., Gaigeot M., Rijs A.M.
Chemical Reviews scimago Q1 wos Q1
2020-02-19 citations by CoLab: 60 Abstract  
Gas-phase, double resonance IR spectroscopy has proven to be an excellent approach to obtain structural information on peptides ranging from single amino acids to large peptides and peptide clusters. In this review, we discuss the state-of-the-art of infrared action spectroscopy of peptides in the far-IR and THz regime. An introduction to the field of far-IR spectroscopy is given, thereby highlighting the opportunities that are provided for gas-phase research on neutral peptides. Current experimental methods, including spectroscopic schemes, have been reviewed. Structural information from the experimental far-IR spectra can be obtained with the help of suitable theoretical approaches such as dynamical DFT techniques and the recently developed Graph Theory. The aim of this review is to underline how the synergy between far-IR spectroscopy and theory can provide an unprecedented picture of the structure of neutral biomolecules in the gas phase. The far-IR signatures of the discussed studies are summarized in a far-IR map, in order to gain insight into the origin of the far-IR localized and delocalized motions present in peptides and where they can be found in the electromagnetic spectrum.
Karr J., Marchand D., Voutier E.
Nature Reviews Physics scimago Q1 wos Q1
2020-09-30 citations by CoLab: 59 Abstract  
The proton charge radius has been measured since the 1950s using elastic electron–proton scattering and ordinary hydrogen atomic spectroscopy. In 2010, a highly precise measurement of the proton charge radius using, for the first time, muonic hydrogen spectroscopy unexpectedly led to controversy, as the value disagreed with the previously accepted one. Since then, atomic and nuclear physicists have been trying to understand this discrepancy by checking theories, questioning experimental methods and performing new experiments. Recently, two measurements from electron scattering and ordinary hydrogen spectroscopy were found to agree with the results from muonic atom spectroscopy. Is the ‘proton-radius puzzle’ now resolved? In this Review, we scrutinize the experimental studies of the proton radius to gain insight on this issue. We provide a brief history of the proton before describing the techniques used to measure its radius and the current status of the field. We assess the precision and reliability of available experimental data, with particular focus on the most recent results. Finally, we discuss the forthcoming new generation of refined experiments and theoretical calculations that aim to definitely end the debate on the proton size. The charge radius of the proton is controversial because measurements by different methods disagree. Recent results indicate that these measurements might be reconciled. In this Review, we discuss the experimental techniques used to measure the proton radius and describe the current status of the field as well as forthcoming experiments.
Conti Nibali V., Pezzotti S., Sebastiani F., Galimberti D.R., Schwaab G., Heyden M., Gaigeot M.-., Havenith M.
2020-05-27 citations by CoLab: 59 Abstract  
Water, being the universal solvent, acts as a competing agent in fundamental processes, such as folding, aggregation or biomolecular recognition. A molecular understanding of hydrophobic hydration is of central importance to understanding the subtle free energy differences, which dictate function. Ab initio and classical molecular dynamics simulations yield two distinct hydration water populations in the hydration shell of solvated tert-butanol noted as HB-wrap and HB-hydration2bulk. The experimentally observed hydration water spectrum can be dissected into two modes, centered at 164 and 195 cm-1. By comparison to the simulations, these two bands are attributed to the HB-wrap and HB-hydration2bulk populations, respectively. We derive a quantitative correlation between the population in each of these two local water coordination motifs and the temperature dependence of the solvation entropy. The crossover from entropy to enthalpy dominated solvation at elevated temperatures, as predicted by theory and observed experimentally, can be rationalized in terms of the distinct temperature stability and thermodynamic signatures of HB-wrap and HB-hydration2bulk.
Burq N., Camps N., Latocca M., Sun C., Tzvetkov N.
2025-01-21 citations by CoLab: 0 Abstract  
We consider the Wick-ordered cubic Schrödinger equation (NLS) posed on the two-dimensional sphere, with initial data distributed according to a Gaussian measure. We show that the second Picard iteration does not improve the regularity of the initial data in the scale of the classical Sobolev spaces. This is in sharp contrast with the Wick-ordered NLS on the two-dimensional tori, a model for which we know from the work of Bourgain that the second Picard iteration gains one half-derivative. Our proof relies on identifying a singular part of the nonlinearity. We show that this singular part is responsible for a concentration phenomenon on a large circle (i.e., a stable closed geodesic), which prevents any regularization in the second Picard iteration.
Mohamed A.H., Abaza T., Youssef Y.A., Rady M., Fahmy S.A., Kamel R., Hamdi N., Efthimiado E., Braoudaki M., Youness R.A.
Nanoscale Advances scimago Q1 wos Q2 Open Access
2025-01-15 citations by CoLab: 2 PDF Abstract  
Extracellular vesicles (EVs) are emerging tools in cancer diagnosis, prognosis and therapeutics.
Pluntz M., Dalmasso C., Tubert‐Bitter P., Ahmed I.
Statistics in Medicine scimago Q1 wos Q1
2024-12-12 citations by CoLab: 0 Abstract  
ABSTRACTHigh‐dimensional regression problems, for example with genomic or drug exposure data, typically involve automated selection of a sparse set of regressors. Penalized regression methods like the LASSO can deliver a family of candidate sparse models. To select one, there are criteria balancing log‐likelihood and model size, the most common being AIC and BIC. These two methods do not take into account the implicit multiple testing performed when selecting variables in a high‐dimensional regression, which makes them too liberal. We propose the extended AIC (EAIC), a new information criterion for sparse model selection in high‐dimensional regressions. It allows for asymptotic FWER control when the candidate regressors are independent. It is based on a simple formula involving model log‐likelihood, model size, the total number of candidate regressors, and the FWER target. In a simulation study over a wide range of linear and logistic regression settings, we assessed the variable selection performance of the EAIC and of other information criteria (including some that also use the number of candidate regressors: mBIC, mAIC, and EBIC) in conjunction with the LASSO. Our method controls the FWER in nearly all settings, in contrast to the AIC and BIC, which produce many false positives. We also illustrate it for the automated signal detection of adverse drug reactions on the French pharmacovigilance spontaneous reporting database.
Mustapha F., Joly F., Bissuel V., Quéméner O.
2024-11-01 citations by CoLab: 0 Abstract  
The thermal comportment of a microchip with four heat sources made in a highly nonlinear material is considered, for various boundary conditions and thermal loads. To save computation time, a Reduced Order Model (ROM) is proposed to replace the original and high-order model. Among the different reduction methods, a modal method is chosen. The non-linearity is taken into account via a simplified quadratic law. This leads to a simple formulation and a prompt numerical implementation. The ROM is highly reliable whatever the environment conditions and the activated source, while the computation time is reduced by a factor 300.
Zayene O., HU J., Damond A., Roc C., Marrot J., gaucher A., Salpin J., Prim D.
ChemPlusChem scimago Q1 wos Q2
2024-10-21 citations by CoLab: 0 Abstract  
AbstractThis study introduces a novel approach for chloride recognition utilizing multifunctional naphthalene‐based receptors. By strategically modifying the substitution patterns on tetrafluoropyridines, a series of new receptors with customized cavities and enhanced binding capabilities were developed. Density functional theory (DFT) calculations and experimental studies combining NMR spectroscopy and mass spectrometry confirmed the efficacy of these receptors in capturing chloride ions. The relative chloride affinity order determined experimentally is in agreement with DFT predictions. The synergistic effect of anion‐π and C‐H…Cl interactions, mediated by the TFP groups, played a crucial role in achieving high binding affinity. This work provides valuable insights for designing future anion receptors with improved performance.
de Raynal P.-., Jabir J.-., Menozzi S.
2024-09-06 citations by CoLab: 0 Abstract  
In this work, we are interested in establishing weak and strong well-posedness for McKean–Vlasov SDEs with additive stable noise and a convolution type non-linear drift with singular interaction kernel in the framework of Lebesgue–Besov spaces. We prove that the well-posedness of the system holds for the thresholds (in terms of regularity indexes) deriving from the scaling of the noise and that the corresponding SDE can be understood in the classical sense. Especially, we characterize quantitatively how the non-linearity allows to go beyond the stronger thresholds, coming from Bony’s paraproduct rule, usually obtained for linear SDEs with singular interaction kernels. We also specifically characterize in function of the stability index of the driving noise and the parameters of the drift when the dichotomy between weak and strong uniqueness occurs.
Otani M., Tojo R., Regnard S., Zheng L., Hoshi T., Ohmori S., Tachibana N., Sano T., Koshimizu S., Ichimura K., Colcombet J., Kawakami N.
2024-07-05 citations by CoLab: 2 Abstract  
The timing of seed germination is controlled by the combination of internal dormancy and external factors. Temperature is a major environmental factor for seed germination. The permissive temperature range for germination is narrow in dormant seeds and expands during after-ripening (AR) (dormancy release). Quantitative trait loci analyses of preharvest sprouting in cereals have revealed that MKK3, a mitogen-activated protein kinase (MAPK) cascade protein, is a negative regulator of grain dormancy. Here, we show that the MAPKKK19/20-MKK3-MPK1/2/7/14 cascade modulates the germination temperature range in Arabidopsis seeds by elevating the germinability of the seeds at sub- and supraoptimal temperatures. The expression of MAPKKK19 and MAPKKK20 is induced around optimal temperature for germination in after-ripened seeds but repressed in dormant seeds. MPK7 activation depends on the expression levels of MAPKKK19/20 , with expression occurring under conditions permissive for germination. Abscisic acid (ABA) and gibberellin (GA) are two major phytohormones which are involved in germination control. Activation of the MKK3 cascade represses ABA biosynthesis enzyme gene expression and induces expression of ABA catabolic enzyme and GA biosynthesis enzyme genes, resulting in expansion of the germinable temperature range. Our data demonstrate that the MKK3 cascade integrates temperature and AR signals to phytohormone metabolism and seed germination.
Ben Djaballah C., Nouibat W., Ayad R.
Soft Computing scimago Q2 wos Q2
2024-07-05 citations by CoLab: 1 Abstract  
In this study, we examined the potential of various artificial bee colony (ABC) algorithm variants for optimizing the design of fractional-order Proportional Integral and Derivative (FOPI and FOPID) controllers for multi-input-multi-output systems. The performance of the FOPI and FOPID controllers was evaluated in controlling Wood and Berry distillation columns and an industrial polymerization reactor with and without decoupling. The simulation results showed that the multi-population ABC algorithm based on global and local optima outperformed the other ABC algorithm variants and other state-of-the-art optimization algorithms in terms of control performance.
Appavou M., Ribeiro L., Nicaise P., Hu J., Martin J., Firminy J., Chaumont C., Bonifacio P., Boussaha F.
2024-06-12 citations by CoLab: 0 Abstract  
We report on simulations of a novel design of optical design of optical titanium nitride (TiN)-based Kinetic Inductance Detectors (KIDs) in order to improve in order to improve their response to optical photons. We propose to separate the meander from the substrate to trap hot phonons generated by optical photons, preventing their rapid propagation through the substrate. These phonons would in turn contribute to the breaking of more Cooper pairs, thereby increasing the response of the detector. In our design, the meander is suspended a few hundred nanometers above the substrate. Furthermore, reflective gold (Au) or aluminum (Al)-based layers can be placed under the meander to improve photon coupling in the optical wavelengths.
Peng M., Liu M., Cong Y., Gu S.
Ocean Engineering scimago Q1 wos Q1
2024-06-01 citations by CoLab: 4 Abstract  
Fatigue evaluation of jacket-type offshore wind turbine (OWT) is critical for structural safety. In this paper, a simplified time-frequency method is proposed to enhance the efficiency and accuracy of fatigue analysis based on the response characteristics of jacket-type OWT. Firstly, the definition of the minimum sample simulation length is employed to improve calculation efficiency. The influence of sampling variability is verified based on fatigue damage with 5000 min simulation length. Then, the combination factor is selected by considering the jacket-type OWT response characteristics and the correction of the mean stress is used to improve the fatigue analysis calculation accuracy. The results show that the simplified method can achieve the minimal sample variability with the minimum simulation length. The combination factor in Ding-Chen method is more suitable for the jacket-type OWT due to the effect of the bandwidth parameter. The consideration of the mean stress correction improves the calculation accuracy of the short-term and long-term fatigue analyses by approximately 25% and 10%, respectively. These findings can contribute to the reference for the fatigue design of future jacket-type OWT.
Syrine B.R., Khadija M., Tahar-Lazhar A., Tarek M.
2024-05-31 citations by CoLab: 2 Abstract  
This paper examined the impact of innovation performance and corporate social responsibility (CSR) on the relationship between digitalization and firm performance. The sample is composed of 118 retained valid surveys collected from French companies. Using the PLS-SEM approach, the study found that CSR significantly mediates the relationship between digitalization and non-financial performance. The results suggest that French companies should focus on investing in CSR strategies in order to benefit from digitalization and improve non-financial performance. The study also found that innovation performance did not significantly impact the relationship between digitalization and performance. These findings have important theoretical implications for understanding the role of CSR in the digitalization process, as well as practical implications for French companies looking to improve performance through digitalization. Future research should continue to explore the moderating effect of CSR on the relationship between digitalization and performance, as well as other potential moderating variables. The aim of this study is to contribute with greater knowledge to how the digitalization of the company affects its performance and manifest the role that CSR plays in this relationship.
Marino L., Menozzi S., Priola E.
2024-05-29 citations by CoLab: 0 Abstract  
We study here the effects of a time-dependent second order perturbation to a degenerate Ornstein-Uhlenbeck type operator whose diffusive part can be either local or non-local. More precisely, we establish that some estimates, such as the Schauder and Sobolev ones, already known for the non-perturbed operator still hold, and with the same constants, when we perturb the Ornstein-Uhlenbeck operator with second order diffusions with coefficients only depending on time in a measurable way. The aim of the current work is two-fold: we weaken the assumptions required on the perturbation in the local case which has been considered already in Marino et al. (Stud Math 267(3):321–346, 2022) and we extend the approach presented therein to a wider class of degenerate Kolmogorov operators with non-local diffusive part of symmetric stable type.

Since 1993

Total publications
2462
Total citations
95959
Citations per publication
38.98
Average publications per year
76.94
Average authors per publication
5.53
h-index
127
Metrics description

Top-30

Fields of science

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Applied Mathematics, 208, 8.45%
Physical and Theoretical Chemistry, 207, 8.41%
General Physics and Astronomy, 167, 6.78%
Condensed Matter Physics, 153, 6.21%
General Medicine, 152, 6.17%
Statistics and Probability, 152, 6.17%
Molecular Biology, 150, 6.09%
Biochemistry, 134, 5.44%
Computer Science Applications, 131, 5.32%
Genetics, 123, 5%
Mechanical Engineering, 111, 4.51%
General Materials Science, 100, 4.06%
Materials Chemistry, 99, 4.02%
General Chemistry, 99, 4.02%
Modeling and Simulation, 89, 3.61%
Plant Science, 84, 3.41%
Electrical and Electronic Engineering, 82, 3.33%
Spectroscopy, 79, 3.21%
Control and Systems Engineering, 78, 3.17%
General Mathematics, 77, 3.13%
Multidisciplinary, 75, 3.05%
Economics and Econometrics, 75, 3.05%
Organic Chemistry, 74, 3.01%
Statistics, Probability and Uncertainty, 70, 2.84%
Biotechnology, 68, 2.76%
Atomic and Molecular Physics, and Optics, 67, 2.72%
Analysis, 67, 2.72%
Cell Biology, 66, 2.68%
Surfaces, Coatings and Films, 65, 2.64%
Mechanics of Materials, 63, 2.56%
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With other countries

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USA, 198, 8.04%
China, 145, 5.89%
Germany, 143, 5.81%
Spain, 120, 4.87%
United Kingdom, 112, 4.55%
Italy, 105, 4.26%
Tunisia, 86, 3.49%
Canada, 61, 2.48%
Switzerland, 57, 2.32%
Russia, 56, 2.27%
Netherlands, 52, 2.11%
Saudi Arabia, 47, 1.91%
Poland, 46, 1.87%
Belgium, 43, 1.75%
Japan, 42, 1.71%
Australia, 36, 1.46%
Algeria, 35, 1.42%
Republic of Korea, 29, 1.18%
Sweden, 24, 0.97%
Brazil, 22, 0.89%
India, 21, 0.85%
Austria, 18, 0.73%
Romania, 17, 0.69%
Czech Republic, 16, 0.65%
Portugal, 13, 0.53%
Denmark, 11, 0.45%
Israel, 11, 0.45%
Mexico, 11, 0.45%
Hungary, 10, 0.41%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1993 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.