Contributions to Mineralogy and Petrology
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SCImago
Q1
WOS
Q1
Impact factor
3.5
SJR
1.865
CiteScore
6.5
Categories
Geochemistry and Petrology
Geophysics
Areas
Earth and Planetary Sciences
Years of issue
1966-2025
journal names
Contributions to Mineralogy and Petrology
CONTRIB MINERAL PETR
Top-3 citing journals

Lithos
(33108 citations)

Contributions to Mineralogy and Petrology
(32996 citations)

Geochimica et Cosmochimica Acta
(18975 citations)
Top-3 organizations

Australian National University
(287 publications)

University of Göttingen
(212 publications)

ETH Zurich
(192 publications)

University of Chinese Academy of Sciences
(26 publications)

ETH Zurich
(24 publications)

Institute of Geology and Geophysics, Chinese Academy of Sciences
(24 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 1146
Q2

Forecasting short-term passenger flow on a bus route: a splitting–integrating method based on passenger travel behavior
Fang X., Lin M., Chen W., Pan X.
Short-term passenger flow forecasting is the key to implement real-time dynamic dispatching of buses, which can meet the travel time requirement of passengers with different attributes. In practice, it is difficult to obtain passenger attribute information due to the restriction of bus information systems or other conditions. This article proposes a new perspective on identifying passenger attribute information, that is, the correlation between the bus card number and the travel time is used to analyse passenger travel behaviour. Then using the travel frequency as the splitting boundary, the passenger set is split into different types of subsets, which are predicted by different methods. The total forecast values are obtained by integration, so as to explore the effectiveness of the passenger attribute identification and splitting–integrating method. The result shows that: (1) compared with the forecasting method without considering the passenger travel behaviour, the performance of splitting–integrating method is better, and the passenger attribute identification method is effective; (2) the value of the splitting boundary will affect the size and consistency of the subset, and the optimal value can be sought according to forecast results; (3) different types of subsets should be treated by different forecasting models and combination paths.
Q2

Reducing CO2 emissions by improving road design: a driving simulator study
Bosurgi G., Marra S., Pellegrino O., Sollazzo G.
In the last decade, the causes of Greenhouse Gas (GHG) emissions were widely studied, to delete or, at least, mitigate them. In the road context, as reasonable, greater importance was assigned to the vehicles, since huge traffic flows, including high percentages of trucks, determine negative impacts on the environment. On the contrary, the role of the road infrastructure has always been considered marginal. It was thought as a functional element on which the traffic flows move, without evaluating the role of its geometrical characteristics on exhaust gas emissions. The proposed research aims to verify whether some road features, related to its horizontal geometry, influence the carbon dioxide production of vehicles or, on the contrary, if it is not sensitive to the different geometrical compositions. A driving simulator gives the opportunity to calculate the emissions from fuel consumption data, in turn, calculated through the engine mapping of an ordinary vehicle. The proposed procedure may be easily applied to any road context and may represent a further checking element for the infrastructure efficiency, in terms of environmental impacts. The results, derived from a test phase in a simulated environment and obtained using 3 different one-way ANOVAs, allowed the authors to define some interesting conclusions. The trend of the carbon dioxide function depends on curve radius and lengths and on tangent length; therefore, an opportune alignment design can effectively contribute to control emission values. The experiments confirmed that designing a consistent road is fundamental, but this cannot be deduced by traditional literature models.
Q2

Railway transport system modelling approach for robustness analysis
Wolniewicz Ł.
The article presents an approach to train traffic modelling that allows for the analysis of how railway networks respond to various disturbances, including increased traffic and disturbance events. It discusses different methods of reconfiguration actions in key points of the railway network, which helps reduce delay propagation in the transport system. The 1st part covers building simulation models, which include defining infrastructure, setting train routes, configuring rolling stock, and disturbance scenarios, enabling the analysis of various disruptive events. The simulations allow for testing disturbance scenarios with minimal downtime risk without interfering with the real-world environment. The study results identified key system parameters generating the largest delays, such as platform availability, signaling, and the number of block sections. Probability density distributions for event intervals and durations were analyzed. The Kolmogorov–Smirnov test was used to confirm the fit of empirical distributions with theoretical ones, which were then implemented in the model of railway line No 271, running from Wrocław to Żmigród (Poland). As part of the reconfiguration of this railway line, new platforms were added, the time required for route setting was reduced, and the number of block sections was increased. These actions significantly reduced average delays, improved line capacity, and enhanced the robustness of the railway transport system against disturbances. The reconfiguration effectively reduced delays in areas causing significant time exceedances above 359 s, which was recognized in the Polish railway network as critical.
Q2

Funiculars in Lithuania: from the fruit basket to Gediminas Hill
Maskeliūnaitė L.
Technological advances in transport of the 20th century include aeroplanes, human spaceflight and Moon landings, submarines, and magnetic levitation trains. In the fast-paced world of technology, the achievements of previous centuries are often forgotten. One of the examples of human ingenuity is the funicular railway. Its technology has hardly changed over the years. Using a simple pulley system, passengers and freight are still lifted steep slopes with minimal energy consumption. This demonstrates the lasting value of simple solutions and engineering intelligence. The article discusses the world’s funiculars and their design characteristics. A correlation analysis for the number of funiculars per country (N) and the country mountainousness index (M) has been carried out. 3 types of regression models have been developed and their determination and correlation coefficients have been calculated. The highest correlation coefficient values are for quadratic and linear mathematical models. The critical values of the correlation coefficients were calculated and compared with the correlation coefficients obtained from the study. For all 36 countries, the correlation coefficient for N and M variables is above the critical value only when a quadratic regression model is used. The correlation coefficients for all models are above the critical value for the 15 economically advanced and tourism-developing countries. The study shows that the number of cable cars in economically developed countries is more strongly correlated with the degree of mountainousness of the country in question.
Q2

Multi-criteria decision-making for solving transport sustainability issues: an overview
Šikšnelytė-Butkienė I., Štreimikienė D., Baležentis T., Agnusdei L.
With the recognition of the impact of the transport sector on climate change and human health, decision-makers are under the pressure to shape the transport sector in a more sustainable way, considering more sustainable options and technologies. Besides that, it is also important to ensure such aspects as affordability, security, reliability and convenience of transport services and the effective functioning of the whole system. Therefore, transport-related policy actions require not only an economic point of view, but also environmental and social actions. The article aims to overview the application of Multi-Criteria Decision-Making (MCDM) techniques for solving sustainability issues in the transport sector and to provide the main insights for methods and sustainability criteria selection. The Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement were applied as the basis for the research. The detailed content analysis of studies is arranged according to the application areas and the methods applied. In order to increase the applicability of the performed analysis and to simplify the decision-making for further studies, the thematic areas for criteria selection are proposed, the most popular MCDM techniques alongside their advantages and disadvantages are briefly discussed.
Q2

Optimal integrated location and dispatching decisions for feeder bus route design problem
Sun B., Wei M., Yang C.
Dispatch centres are an important part of the feeder bus network, and their location affects the design process of the feeder route. In some remote areas with weak transport infrastructure, it is very important to find an effective tool to simultaneously select the optimal location of the dispatch centre as well as transit routing process, which could improve the performance of the feeder bus system. The purpose of this article is to present an integrated optimization model for joint location and dispatching decisions for Feeder Bus Route Design (FBRD). The proposed methodology can select a number of best dispatch centres in alternative sets and calculate the order of the demand points visited by the feeder route. The objective of the model is to simultaneously minimize the total construction cost of selected dispatch centres and the total operational cost of the designed feeder bus system. The methodology facilitates obtaining solutions using the design of an improved double population Bacterial Foraging Optimization (BFO) algorithm. For example, it redefines the solution coding and the heuristic used to randomly initialize the initial population. When applied to the design of a feeder bus system for a station at Nanjing (China), the results reveal that a reduced budget may lead to change in the location of the dispatch centre; a more distant centre is required, which may increase the total mileage cost of all feeder routes. A detailed comparison of the improved and standard BFO and CPLEX shows that the difference between solutions is acceptable. However, the calculation time is greatly reduced, thus proving the effectiveness of the proposed algorithm.
Q2

Starting driving style recognition of electric city bus based on deep learning and CAN data
Zhao D., Fu Z., Liu C., Hou J., Dong S., Zhong Y.
Drivers with aggressive driving style driving electric city buses with rapid response and high acceleration performance characteristics are more prone to have traffic accidents in the starting stage. It is of great importance to accurately identify the drivers with aggressive driving style for preventing traffic accidents of city buses. In this article, a starting driving style recognition method of electric city bus is firstly proposed based on deep learning with in-vehicle Controller Area Network (CAN) bus data. The proposed model can automatically extract the deep spatiotemporal features of multi-channel time series data and achieve end-to-end data processing with higher accuracy and generalization ability. The sample data set of driving style is established by pre-processing the collected in-vehicle CAN bus data including the status of driving and vehicle motion, the data pre-processing method includes data cleaning, normalization and sample segmentation. Data set is labelled with subjective evaluation method. The starting driving style recognition method based on Convolutional Neural Network (CNN) model is constructed. Multiple sets of convolutional layers and pooling layers are used to automatically extract the spatiotemporal characteristics of starting driving style hidden in the data such as velocity and pedal position etc. The fully connected neural network and incentive function Softmax are applied to establish the relationship mapping between driving data characteristics and the starting driving styles, which are categorized as cautious, normal and aggressive. The results show that the proposed model can accurately recognize the starting driving style of electric city bus drivers with an accuracy of 98.3%. In addition, the impact of different model structures on model performance such as accuracy and F1 scores was discussed, and the performance of the proposed model was also compared with Support Vector Machine (SVM) and random forest model. The method can be used to accurately identify drivers with aggressive starting driving style and provide references for driver’s safety education, so as to prevent accidents at the starting stage of electric city bus and reduce crash accidents.
Q2

Twice clustering based hybrid model for short-term passenger flow forecasting
Wang S., Yang X.
Short-term metro passenger flow prediction plays a great role in traffic planning and management, and it is an important prerequisite for achieving intelligent transportation. So, a novel hybrid Support Vector Regression (SVR) model based on Twice Clustering (TC) is proposed for short-term metro passenger flow prediction. The training sets and test sets are generated by TC with respect to values of passenger flow in different time periods to improve the prediction accuracy. Furthermore, each obtained cluster is decomposed by using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) algorithm and the Ensemble Empirical Mode Decomposition (EEMD) algorithm, respectively. The volatility of each component obtained after decomposition is further reduced. Then, the SVR model optimized by the Grey Wolf Optimization (GWO) algorithm is used to predict the decomposed components. Moreover, forecast based on one-month data from Xi’an Metro Line 2 Library Station (China). By comparing the prediction results of the TC condition, the Once Clustering (OC) condition and the non-clustering condition, it shows that the TC approach can adequately model the volatility and effectively improve the prediction accuracy. At the same time, experimental results show that the novel hybrid TC–CEEMDAN–GWO–SVR model has superior performance than Genetic Algorithm (GA) optimized SVR (SVR–GA) model and hybrid Back Propagation Neural Network (BPNN) model.
Q2

Exploring potential car trips for long-distance school escorting using smart card data and a household travel survey
Liu Y., Ji Y., Ma X., Liu Q.
Encouraging students to commute by the metro can effectively reduce household car use caused by long-distance commuting to school. This article focuses on the frequency of metro use by groups of students commuting to school based on the assumption that students who use the metro may occasionally be driven to school by their parents. For the 1st time, we propose a school metro commuter identification process that considers the potential behaviour of escorted students, and we study the potential car trips for long-distance school escorting in Nanjing (China) using Smart Card Data (SCD) and a household travel survey from Nanjing. 3 clusters of students who use the metro for commutes to school are identified by frequency of use for possible escorting behaviour based on the commuting day. As possible factors influencing the 3 frequency groups, usage pattern of the metro, entry time, travel duration and the school–housing relationship are extracted from SCD. Furthermore, a multinomial logistic regression model is used to examine the significant factors that influence the grouping of students. The results show that students who use the metro occasionally for a long commuting distance to school are more likely to be escorted to and from school by their parents, especially to school. The later the entry time is to the metro, the more likely that students are to be escorted to school. Additionally, a long school–housing travel duration/distance significantly contributes to parents’ car trips for commuting. The results of this article are valuable for transport policy to reduce car use for long-distance school trips.
Q2

The impact of ESG strategies on growth in the logistics industry
Sadowski A., Gniadkowska-Szymańska A., Sokolovskij E., Jędrzejczak R.
The aim of the article is to analyse the relationship between company growth, measured as an increase in Earnings Per Share (EPS) in 3- and 5-year periods, and companies’ financial condition, measured using the Altman z-Score (AS) model. The study was carried out on the example of companies included in the WIG Index and Warsaw Stock Exchange Index (in Polish: Warszawski Indeks Giełdowy – WIG) Environmental, Social, and Governance (ESG) between 2013 and 2020. Furthermore, among the companies included in the WIG index, companies belonging to the logistics industry were distinguished. An analysis of linear and panel relationships was used to verify the nature of the relationships between the variables taken into account. The z-Altman index was found to have a positive effect on company growth in a 3-year period for companies from the transport and logistics industry and all companies included in the WIG ESG index. Regarding company growth over the longer 5-year period, the influence of the z-Altman index on growth was not observed. Therefore, the results for companies in the WIG index show that for company growth in both the 3- and 5-year periods, the financial and economic condition of a company, measured by the z-Altman index, has no impact on the size of this growth, which was also confirmed by panel models.
Q2

Examining failures in rubber-cord couplings within ER2 series electric trains
Gavrilovs P., Gorbacovs D., Eiduks J., Strautmanis G., Arshad A.
The article provides statistics on failures of rubber-cord couplings of electric trains of the ER2 and ER2T series and of the diesel trains over the past 7 years. According to statistics, over the past 7 years, 107 rubber-cord couplings have failed. Of these, the largest number of cases of failure of rubber-cord couplings occurred on rolling stock of the ER2 series. Examining failed rubber-cord couplings, it was revealed that the cause of its failure was a rupture of the side surface. Replacing a rubber-cord coupling is a labour-intensive and costly process. Accordingly, the question arises: what causes the problem and what measures should be proposed to reduce the failures. For these purposes, the work presents a number of experiments in order to identify possible causes of failure of the rubber-cord coupling. The article presents studies of the heating temperature of rubber-cord couplings in operation on motor cars, as well as a number of studies of failed rubber-cord couplings removed from motor cars. During the research, such parameters as the date of the last repair and the date of failure of the rubber-cord coupling were taken into account. The number of days the motor car was in general operation was taken into account until the failure of the rubber-cord coupling, as well as the mileage of the motor car after the repair. Measurements were carried out of the geometric parameters of the rubber-cord coupling: outer and inner diameter, thickness of the side of the rubber-cord coupling. The torque of the rubber-cord coupling acting at speeds from 5 to 40 km/h, the forces acting in operation on the rubber-cord coupling were calculated, and torsional and shear stresses were also studied and determined. Research was carried out to determine the hardness of the rubber-cord coupling in the temperature range from –20 °C to 0 °C and from 0 °C to +22 °C, as well as from +22 °C to +60 °C. These parameters were taken since a rubber-cord coupling operates under the mentioned conditions. In conclusion, possible reasons for the failure of rubber-cord couplings are given, and recommendations for reduction of their frequency are proposed.
Q2

Subgrade performance assessment for rigid runway using long-term pavement performance database
Liu G., Pei L., Wu Z.
Maintaining desired subgrade performance is an effective way to reduce runway pavement deterioration. Due to lack of extensive field test data, life-cycle performance of runway subgrade has not been fully understood. In order to quantitatively estimate subgrade condition, a novel method of evaluating subgrade performance was developed and validated using the 726 sets of Heavy Weight Deflectometer (HWD) test data of ten runway sections. Statistical analysis demonstrates that the structural behaviour of rigid runway subgrade follows normal distribution in different service stages and can be efficiently evaluated by the subgrade performance index (ψ). The results of factor analysis show that Accumulated Air Traffic Volume (ATV) during service life is the major cause of spatial variations in subgrade condition. In the designed service period of runway, it validates that sea-reclaimed subgrade results in faster degradation in the initial stage of service life while thicker pavement exhibits better capability in protecting the subgrade soil in long-term view. Besides, the differences in applied loads and pavement thickness give rise to the subgrade performance variation in longitudinal direction. Meanwhile, the comparison between the main and the less trafficked test lines in transversal direction reveals that the aircraft impacts play a positive role in resisting the natural fatigue process. By the suggested method, subgrade performance of HWD test points can be categorized into 4 levels from “Excellent”, “Good”, “Fair” to “Poor” based on ψ value. It is helpful for airport agency to make scientific decisions on Maintenance and Rehabilitation (M&R) treatment by calculating the effective area of envelope (β) using the ratio of subgrade performance (η).
Q2

A three-stage heuristic for optimizing container relocations in maritime container terminals
Zhu Q., Jin B.
The Container Relocation Problem (CRP) is one of the most important optimization problems in maritime container terminals. The objective is to minimize the number of relocation operations for retrieving containers in a sequence. If the container to be retrieved next is not at the top of a stack, unproductive relocations have to be carried out. Due to the large number of containers handled by busy terminals, a slight reduction in relocation rates can result in significant savings in operating costs. Most of the existing heuristics make relocation decisions for the blocking containers one by one, based on simple indicators. In this article, we propose a Three-Stage Heuristic (3SH) that extends the decision horizon to multiple containers to achieve a higher-quality solution. Computational experiments are conducted on 3 sets of benchmark instances, and the results show that the proposed heuristic outperforms the state-of-the-art heuristics documented in the research literature.
Q2

Sustainable mobility and electric vehicle adoption: a study on the impact of perceived benefits and risks
Yildiz B., Çiğdem Ş., Meidutė-Kavaliauskienė I.
The shift towards sustainable transportation is becoming increasingly important as the negative impact of traditional fuel-powered vehicles on the environment becomes more evident. Electric Vehicles (EVs) are considered a viable solution to this problem, and understanding the factors that influence consumer intention to purchase EVs is crucial for their widespread adoption. This study investigates the factors that influence individuals’ intention to purchase EVs. 4 independent variables were considered: Perceived Environmental Benefit (PEB), Perceived Performance Benefit (PPB), Perceived Performance Risk (PPR), and Perceived Financial Risk (PFR). A survey was conducted with 398 respondents, and the data collected were analysed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM). The results indicate that PEB, PPB, PPR, and PFR have significant effects on Purchase Intention (PI). Specifically, PEB and PPB positively affect PI, while PPR and PFR negatively affect it. These findings suggest that improving the PEBs and PPBs of EVs and reducing perceived performance and financial risks could encourage more individuals to purchase them.
Q2

Rail freight accessibility of the Visegrád Group countries and Baltic States in the context of Eurasian rail transport system
Wilczewska M.
This study aimed to determine the level of infrastructure-based rail freight accessibility and rail freight performance of several Central and Eastern European (CEE) countries in the context of their presence in the Eurasian rail freight transport system. The study′s object was 7 CEE countries: Estonia, Lithuania, Latvia, Poland, Czechia, Slovakia and Hungary. The research methodology was based on the TOPSIS method supplemented with literature and statistical analyses. Several selected numerical indicators were considered to create 2 rankings that displayed the results achieved by countries in terms of accessibility and performance. Results showed that Czechia is the leader in infrastructure-based accessibility, with Latvia closing the ranking, and Lithuania is the leader in rail freight performance, with Hungary closing the ranking. Even though the study did not allow to confirm that a country′s rail freight accessibility affects its rail freight performance and vice versa, it can be assumed that both parameters are crucial in the context of the incoming modal shift to rail freight in Eurasia; therefore, they constitute a valuable research endeavour.
Top-100
Citing journals
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Lithos
33108 citations, 8.29%
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Contributions to Mineralogy and Petrology
32996 citations, 8.26%
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Geochimica et Cosmochimica Acta
18975 citations, 4.75%
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Journal of Petrology
18720 citations, 4.68%
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Chemical Geology
16197 citations, 4.05%
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Earth and Planetary Science Letters
14365 citations, 3.6%
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10555 citations, 2.64%
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Journal of Volcanology and Geothermal Research
8515 citations, 2.13%
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Ore Geology Reviews
7811 citations, 1.95%
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Journal of Asian Earth Sciences
7558 citations, 1.89%
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Journal of Geophysical Research
6887 citations, 1.72%
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International Geology Review
6492 citations, 1.62%
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Gondwana Research
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Elsevier
167960 citations, 42.03%
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Springer Nature
67485 citations, 16.89%
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Wiley
46216 citations, 11.57%
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Taylor & Francis
11119 citations, 2.78%
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6098 citations, 1.53%
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5569 citations, 1.39%
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Science in China Press
1096 citations, 0.27%
|
|
Chinese Society for Mineralogy, Petrology, and Geochemistry
1007 citations, 0.25%
|
|
Canadian Science Publishing
962 citations, 0.24%
|
|
American Chemical Society (ACS)
683 citations, 0.17%
|
|
The Russian Academy of Sciences
593 citations, 0.15%
|
|
The Geological Society of Japan
539 citations, 0.13%
|
|
Annual Reviews
511 citations, 0.13%
|
|
Royal Society of Chemistry (RSC)
504 citations, 0.13%
|
|
Mineralogical Association of Canada
488 citations, 0.12%
|
|
Hindawi Limited
478 citations, 0.12%
|
|
472 citations, 0.12%
|
|
The Geological Society of Korea
387 citations, 0.1%
|
|
The Royal Society
378 citations, 0.09%
|
|
The Geochemical Society of Japan
371 citations, 0.09%
|
|
IOP Publishing
338 citations, 0.08%
|
|
EDP Sciences
330 citations, 0.08%
|
|
Proceedings of the National Academy of Sciences (PNAS)
272 citations, 0.07%
|
|
Sociedade Brasileira de Geologia
255 citations, 0.06%
|
|
AIP Publishing
226 citations, 0.06%
|
|
Scientific Research Publishing
168 citations, 0.04%
|
|
Tokyo Geographical Society
168 citations, 0.04%
|
|
Institute of Earth's Crust, Siberian Branch of the Russian Academy of Sciences
167 citations, 0.04%
|
|
Geological Society of South Africa
167 citations, 0.04%
|
|
American Physical Society (APS)
134 citations, 0.03%
|
|
Akademiai Kiado
129 citations, 0.03%
|
|
Geophysical Center of the Russian Academy of Sciences
124 citations, 0.03%
|
|
IGG UB RAS
124 citations, 0.03%
|
|
Academia Brasileira de Ciencias
116 citations, 0.03%
|
|
SAGE
114 citations, 0.03%
|
|
American Astronomical Society
109 citations, 0.03%
|
|
Geologists' Association
108 citations, 0.03%
|
|
108 citations, 0.03%
|
|
Public Library of Science (PLoS)
84 citations, 0.02%
|
|
Mary Ann Liebert
83 citations, 0.02%
|
|
IntechOpen
80 citations, 0.02%
|
|
International Union of Crystallography (IUCr)
74 citations, 0.02%
|
|
Maney Publishing
72 citations, 0.02%
|
|
Norwegian Polar Institute
70 citations, 0.02%
|
|
ASM International
65 citations, 0.02%
|
|
61 citations, 0.02%
|
|
Research Square Platform LLC
59 citations, 0.01%
|
|
Iron and Steel Institute of Japan
52 citations, 0.01%
|
|
Trans Tech Publications
51 citations, 0.01%
|
|
46 citations, 0.01%
|
|
The Korean Society of Economic and Environmental Geology
46 citations, 0.01%
|
|
Society for Sedimentary Geology (SEPM)
46 citations, 0.01%
|
|
SciELO
42 citations, 0.01%
|
|
Gemological Institute of America
37 citations, 0.01%
|
|
Societa Italiana di Fisica
33 citations, 0.01%
|
|
Moscow University Press
33 citations, 0.01%
|
|
American Journal of Science
32 citations, 0.01%
|
|
Higher Education Press
29 citations, 0.01%
|
|
28 citations, 0.01%
|
|
Universidad Nacional de Colombia
24 citations, 0.01%
|
|
Georesursy LLC
24 citations, 0.01%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
24 citations, 0.01%
|
|
Society of Exploration Geophysicists
23 citations, 0.01%
|
|
American Scientific Publishers
23 citations, 0.01%
|
|
Mineral Research & Exploration General Directorate
23 citations, 0.01%
|
|
CSIRO Publishing
22 citations, 0.01%
|
|
Editorial CSIC
19 citations, 0%
|
|
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
18 citations, 0%
|
|
Optica Publishing Group
17 citations, 0%
|
|
Japan Academy
17 citations, 0%
|
|
Saint-Petersburg Mining University
16 citations, 0%
|
|
16 citations, 0%
|
|
The Korean Earth Science Society
16 citations, 0%
|
|
Escola de minas
15 citations, 0%
|
|
World Scientific
14 citations, 0%
|
|
Ceramic Society of Japan
14 citations, 0%
|
|
Gai Kan Bianjibu
13 citations, 0%
|
|
Seismological Society of America (SSA)
12 citations, 0%
|
|
12 citations, 0%
|
|
Norsk Geologisk Forening/Norwegian Geological Society
12 citations, 0%
|
|
Japan Society of High Pressure Science and Technology
11 citations, 0%
|
|
The Electrochemical Society
11 citations, 0%
|
|
Social Science Electronic Publishing
11 citations, 0%
|
|
IGI Global
11 citations, 0%
|
|
Komi SC UB RAS
10 citations, 0%
|
|
Show all (70 more) | |
20000
40000
60000
80000
100000
120000
140000
160000
180000
|
Publishing organizations
50
100
150
200
250
300
|
|
Australian National University
287 publications, 4.03%
|
|
University of Göttingen
212 publications, 2.98%
|
|
ETH Zurich
192 publications, 2.7%
|
|
Massachusetts Institute of Technology
152 publications, 2.14%
|
|
Ruhr University Bochum
145 publications, 2.04%
|
|
University of Bayreuth
117 publications, 1.64%
|
|
University of California, Berkeley
112 publications, 1.57%
|
|
University of Manchester
105 publications, 1.48%
|
|
University of Cambridge
104 publications, 1.46%
|
|
University of Edinburgh
104 publications, 1.46%
|
|
Macquarie University
99 publications, 1.39%
|
|
University of Bern
98 publications, 1.38%
|
|
University of Bristol
97 publications, 1.36%
|
|
University of Michigan
97 publications, 1.36%
|
|
Leibniz University Hannover
88 publications, 1.24%
|
|
University of Wisconsin–Madison
88 publications, 1.24%
|
|
University of Münster
86 publications, 1.21%
|
|
University of Tübingen
83 publications, 1.17%
|
|
California Institute of Technology
83 publications, 1.17%
|
|
Université Clermont Auvergne
78 publications, 1.1%
|
|
University of California, Los Angeles
76 publications, 1.07%
|
|
Kiel University
76 publications, 1.07%
|
|
Western University
74 publications, 1.04%
|
|
University of Chicago
72 publications, 1.01%
|
|
University of Melbourne
70 publications, 0.98%
|
|
Curtin University
70 publications, 0.98%
|
|
University of Washington
70 publications, 0.98%
|
|
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
70 publications, 0.98%
|
|
Max Planck Institute for Chemistry
69 publications, 0.97%
|
|
University of Alberta
68 publications, 0.96%
|
|
University of Lausanne
67 publications, 0.94%
|
|
Geological Survey of Canada
67 publications, 0.94%
|
|
University of Cologne
65 publications, 0.91%
|
|
Institute of Geology and Geophysics, Chinese Academy of Sciences
65 publications, 0.91%
|
|
Johns Hopkins University
64 publications, 0.9%
|
|
Heidelberg University
63 publications, 0.89%
|
|
University of Tasmania
63 publications, 0.89%
|
|
Monash University
60 publications, 0.84%
|
|
Rensselaer Polytechnic Institute
59 publications, 0.83%
|
|
Brown University
57 publications, 0.8%
|
|
Woods Hole Oceanographic Institution
57 publications, 0.8%
|
|
Stanford University
56 publications, 0.79%
|
|
McGill University
56 publications, 0.79%
|
|
University of Cape Town
55 publications, 0.77%
|
|
University of Tokyo
55 publications, 0.77%
|
|
V.S. Sobolev Institute of Geology and Mineralogy of the Siberian Branch of the Russian Academy of Sciences
54 publications, 0.76%
|
|
University of Padua
54 publications, 0.76%
|
|
Institute of Geosciences and Earth Resources
54 publications, 0.76%
|
|
University of Arizona
54 publications, 0.76%
|
|
China University of Geosciences (Wuhan)
53 publications, 0.75%
|
|
Commonwealth Scientific and Industrial Research Organization
53 publications, 0.75%
|
|
Sorbonne University
52 publications, 0.73%
|
|
University of Oslo
51 publications, 0.72%
|
|
Columbia University
49 publications, 0.69%
|
|
Arizona State University
49 publications, 0.69%
|
|
Goethe University Frankfurt
49 publications, 0.69%
|
|
University of Leeds
49 publications, 0.69%
|
|
University of Copenhagen
48 publications, 0.67%
|
|
Tohoku University
47 publications, 0.66%
|
|
University of Texas at Austin
47 publications, 0.66%
|
|
Johannes Gutenberg University Mainz
47 publications, 0.66%
|
|
University of Vienna
46 publications, 0.65%
|
|
Imperial College London
45 publications, 0.63%
|
|
University of Oxford
45 publications, 0.63%
|
|
University of the Witwatersrand
45 publications, 0.63%
|
|
National Institute of Geophysics and Volcanology
43 publications, 0.6%
|
|
University of Pavia
42 publications, 0.59%
|
|
University of Adelaide
42 publications, 0.59%
|
|
Rhenish Friedrich Wilhelm University of Bonn
42 publications, 0.59%
|
|
University of Chinese Academy of Sciences
41 publications, 0.58%
|
|
University of Auckland
41 publications, 0.58%
|
|
Swedish Museum of Natural History
40 publications, 0.56%
|
|
University of Western Australia
39 publications, 0.55%
|
|
Technical University of Berlin
39 publications, 0.55%
|
|
Free University of Berlin
38 publications, 0.53%
|
|
Virginia Tech
38 publications, 0.53%
|
|
Paris Cité University
37 publications, 0.52%
|
|
University of Minnesota
37 publications, 0.52%
|
|
University of Granada
37 publications, 0.52%
|
|
University of Toronto
36 publications, 0.51%
|
|
Vrije Universiteit Amsterdam
35 publications, 0.49%
|
|
University of British Columbia
35 publications, 0.49%
|
|
Utrecht University
35 publications, 0.49%
|
|
Uppsala University
34 publications, 0.48%
|
|
University of Glasgow
33 publications, 0.46%
|
|
University of Otago
33 publications, 0.46%
|
|
Oregon State University
33 publications, 0.46%
|
|
Okayama University
33 publications, 0.46%
|
|
University of Queensland
32 publications, 0.45%
|
|
Pennsylvania State University
31 publications, 0.44%
|
|
University of Calgary
31 publications, 0.44%
|
|
Vernadsky Institute of Geochemistry and Analytical Chemistry of the Russian Academy of Sciences
30 publications, 0.42%
|
|
Institute of Geology of Ore Deposits, Petrography, Mineralogy and Geochemistry of the Russian Academy of Sciences
30 publications, 0.42%
|
|
Queen's University at Kingston
30 publications, 0.42%
|
|
University of Erlangen–Nuremberg
30 publications, 0.42%
|
|
Indiana University Bloomington
30 publications, 0.42%
|
|
University of Basel
29 publications, 0.41%
|
|
Hokkaido University
29 publications, 0.41%
|
|
University of Colorado Boulder
29 publications, 0.41%
|
|
Institute of Experimental Mineralogy of the Russian Academy of Sciences
28 publications, 0.39%
|
|
Show all (70 more) | |
50
100
150
200
250
300
|
Publishing organizations in 5 years
5
10
15
20
25
30
|
|
University of Chinese Academy of Sciences
26 publications, 4.74%
|
|
ETH Zurich
24 publications, 4.38%
|
|
Institute of Geology and Geophysics, Chinese Academy of Sciences
24 publications, 4.38%
|
|
Australian National University
21 publications, 3.83%
|
|
University of Lausanne
18 publications, 3.28%
|
|
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
18 publications, 3.28%
|
|
China University of Geosciences (Wuhan)
17 publications, 3.1%
|
|
University of Bern
17 publications, 3.1%
|
|
University of Bayreuth
16 publications, 2.92%
|
|
Université Clermont Auvergne
16 publications, 2.92%
|
|
Northwest University
14 publications, 2.55%
|
|
Ruhr University Bochum
14 publications, 2.55%
|
|
University of Göttingen
14 publications, 2.55%
|
|
University of Vienna
14 publications, 2.55%
|
|
Curtin University
13 publications, 2.37%
|
|
University of Münster
13 publications, 2.37%
|
|
University of Cologne
11 publications, 2.01%
|
|
Institute of Geochemistry, Chinese Academy of Sciences
11 publications, 2.01%
|
|
University of Oxford
10 publications, 1.82%
|
|
National Institute of Geophysics and Volcanology
10 publications, 1.82%
|
|
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences
10 publications, 1.82%
|
|
Goethe University Frankfurt
10 publications, 1.82%
|
|
V.S. Sobolev Institute of Geology and Mineralogy of the Siberian Branch of the Russian Academy of Sciences
9 publications, 1.64%
|
|
University of Bristol
9 publications, 1.64%
|
|
Leibniz University Hannover
9 publications, 1.64%
|
|
University of Wisconsin–Madison
9 publications, 1.64%
|
|
University of Lorraine
8 publications, 1.46%
|
|
Nanjing University
8 publications, 1.46%
|
|
University of Geneva
8 publications, 1.46%
|
|
Durham University
8 publications, 1.46%
|
|
Sorbonne University
8 publications, 1.46%
|
|
Massachusetts Institute of Technology
8 publications, 1.46%
|
|
Macquarie University
8 publications, 1.46%
|
|
University of Johannesburg
8 publications, 1.46%
|
|
Tohoku University
8 publications, 1.46%
|
|
McGill University
8 publications, 1.46%
|
|
University of British Columbia
8 publications, 1.46%
|
|
Institute of Geology of Ore Deposits, Petrography, Mineralogy and Geochemistry of the Russian Academy of Sciences
7 publications, 1.28%
|
|
Peking University
7 publications, 1.28%
|
|
China University of Geosciences (Beijing)
7 publications, 1.28%
|
|
University of Oslo
7 publications, 1.28%
|
|
Institute of Geosciences and Earth Resources
7 publications, 1.28%
|
|
Monash University
7 publications, 1.28%
|
|
Commonwealth Scientific and Industrial Research Organization
7 publications, 1.28%
|
|
Washington State University
7 publications, 1.28%
|
|
University of California, Santa Barbara
7 publications, 1.28%
|
|
Rhenish Friedrich Wilhelm University of Bonn
7 publications, 1.28%
|
|
Johannes Gutenberg University Mainz
7 publications, 1.28%
|
|
University of Tübingen
6 publications, 1.09%
|
|
Uppsala University
6 publications, 1.09%
|
|
Free University of Berlin
6 publications, 1.09%
|
|
University of Helsinki
6 publications, 1.09%
|
|
Swedish Museum of Natural History
6 publications, 1.09%
|
|
University of Padua
6 publications, 1.09%
|
|
University of Edinburgh
6 publications, 1.09%
|
|
University of Manchester
6 publications, 1.09%
|
|
California Institute of Technology
6 publications, 1.09%
|
|
Pennsylvania State University
6 publications, 1.09%
|
|
Victoria University of Wellington
6 publications, 1.09%
|
|
University of Adelaide
6 publications, 1.09%
|
|
University of the Witwatersrand
6 publications, 1.09%
|
|
Syracuse University
6 publications, 1.09%
|
|
Vrije Universiteit Amsterdam
6 publications, 1.09%
|
|
University of Erlangen–Nuremberg
6 publications, 1.09%
|
|
Utrecht University
6 publications, 1.09%
|
|
University of Potsdam
6 publications, 1.09%
|
|
University of Salzburg
6 publications, 1.09%
|
|
University of Liège
5 publications, 0.91%
|
|
Imperial College London
5 publications, 0.91%
|
|
Chengdu University of Technology
5 publications, 0.91%
|
|
University of Pisa
5 publications, 0.91%
|
|
GNS Science
5 publications, 0.91%
|
|
University of Melbourne
5 publications, 0.91%
|
|
Stellenbosch University
5 publications, 0.91%
|
|
Arizona State University
5 publications, 0.91%
|
|
Oregon State University
5 publications, 0.91%
|
|
National Institute of Advanced Industrial Science and Technology
5 publications, 0.91%
|
|
Rensselaer Polytechnic Institute
5 publications, 0.91%
|
|
Vanderbilt University
5 publications, 0.91%
|
|
Ludwig Maximilian University of Munich
5 publications, 0.91%
|
|
Japan Agency for Marine-Earth Science and Technology
5 publications, 0.91%
|
|
AGH University of Krakow
5 publications, 0.91%
|
|
University of Alberta
5 publications, 0.91%
|
|
Geological Survey of Canada
5 publications, 0.91%
|
|
A. P. Vinogradov Institute of Geochemistry of the Siberian Branch of the Russian Academy of Sciences
4 publications, 0.73%
|
|
Zhejiang University
4 publications, 0.73%
|
|
Katholieke Universiteit Leuven
4 publications, 0.73%
|
|
Heidelberg University
4 publications, 0.73%
|
|
Grenoble Alpes University
4 publications, 0.73%
|
|
University of Cambridge
4 publications, 0.73%
|
|
University of Perugia
4 publications, 0.73%
|
|
University of Florence
4 publications, 0.73%
|
|
University of Pavia
4 publications, 0.73%
|
|
University of Auckland
4 publications, 0.73%
|
|
Australian Research Council
4 publications, 0.73%
|
|
University of Tasmania
4 publications, 0.73%
|
|
Stanford University
4 publications, 0.73%
|
|
Central Washington University
4 publications, 0.73%
|
|
University of Hong Kong
4 publications, 0.73%
|
|
University of Arizona
4 publications, 0.73%
|
|
Show all (70 more) | |
5
10
15
20
25
30
|
Publishing countries
500
1000
1500
2000
2500
|
|
USA
|
USA, 2347, 33%
USA
2347 publications, 33%
|
Germany
|
Germany, 1417, 19.92%
Germany
1417 publications, 19.92%
|
United Kingdom
|
United Kingdom, 937, 13.17%
United Kingdom
937 publications, 13.17%
|
Australia
|
Australia, 775, 10.9%
Australia
775 publications, 10.9%
|
Canada
|
Canada, 614, 8.63%
Canada
614 publications, 8.63%
|
France
|
France, 592, 8.32%
France
592 publications, 8.32%
|
Switzerland
|
Switzerland, 398, 5.6%
Switzerland
398 publications, 5.6%
|
Italy
|
Italy, 352, 4.95%
Italy
352 publications, 4.95%
|
Japan
|
Japan, 315, 4.43%
Japan
315 publications, 4.43%
|
China
|
China, 280, 3.94%
China
280 publications, 3.94%
|
Russia
|
Russia, 190, 2.67%
Russia
190 publications, 2.67%
|
South Africa
|
South Africa, 179, 2.52%
South Africa
179 publications, 2.52%
|
Norway
|
Norway, 143, 2.01%
Norway
143 publications, 2.01%
|
Austria
|
Austria, 123, 1.73%
Austria
123 publications, 1.73%
|
New Zealand
|
New Zealand, 123, 1.73%
New Zealand
123 publications, 1.73%
|
Denmark
|
Denmark, 113, 1.59%
Denmark
113 publications, 1.59%
|
Sweden
|
Sweden, 110, 1.55%
Sweden
110 publications, 1.55%
|
India
|
India, 93, 1.31%
India
93 publications, 1.31%
|
Netherlands
|
Netherlands, 89, 1.25%
Netherlands
89 publications, 1.25%
|
Spain
|
Spain, 77, 1.08%
Spain
77 publications, 1.08%
|
Belgium
|
Belgium, 60, 0.84%
Belgium
60 publications, 0.84%
|
Brazil
|
Brazil, 44, 0.62%
Brazil
44 publications, 0.62%
|
Czech Republic
|
Czech Republic, 42, 0.59%
Czech Republic
42 publications, 0.59%
|
Finland
|
Finland, 40, 0.56%
Finland
40 publications, 0.56%
|
Iceland
|
Iceland, 35, 0.49%
Iceland
35 publications, 0.49%
|
Turkey
|
Turkey, 29, 0.41%
Turkey
29 publications, 0.41%
|
Israel
|
Israel, 28, 0.39%
Israel
28 publications, 0.39%
|
Ireland
|
Ireland, 28, 0.39%
Ireland
28 publications, 0.39%
|
USSR
|
USSR, 27, 0.38%
USSR
27 publications, 0.38%
|
Hungary
|
Hungary, 26, 0.37%
Hungary
26 publications, 0.37%
|
Chile
|
Chile, 24, 0.34%
Chile
24 publications, 0.34%
|
Republic of Korea
|
Republic of Korea, 22, 0.31%
Republic of Korea
22 publications, 0.31%
|
Poland
|
Poland, 21, 0.3%
Poland
21 publications, 0.3%
|
Mexico
|
Mexico, 19, 0.27%
Mexico
19 publications, 0.27%
|
Argentina
|
Argentina, 17, 0.24%
Argentina
17 publications, 0.24%
|
Greece
|
Greece, 13, 0.18%
Greece
13 publications, 0.18%
|
Portugal
|
Portugal, 12, 0.17%
Portugal
12 publications, 0.17%
|
Egypt
|
Egypt, 12, 0.17%
Egypt
12 publications, 0.17%
|
Singapore
|
Singapore, 9, 0.13%
Singapore
9 publications, 0.13%
|
Slovakia
|
Slovakia, 8, 0.11%
Slovakia
8 publications, 0.11%
|
Czechoslovakia
|
Czechoslovakia, 8, 0.11%
Czechoslovakia
8 publications, 0.11%
|
Mongolia
|
Mongolia, 7, 0.1%
Mongolia
7 publications, 0.1%
|
Ukraine
|
Ukraine, 6, 0.08%
Ukraine
6 publications, 0.08%
|
Algeria
|
Algeria, 6, 0.08%
Algeria
6 publications, 0.08%
|
Iran
|
Iran, 6, 0.08%
Iran
6 publications, 0.08%
|
Saudi Arabia
|
Saudi Arabia, 6, 0.08%
Saudi Arabia
6 publications, 0.08%
|
Ethiopia
|
Ethiopia, 6, 0.08%
Ethiopia
6 publications, 0.08%
|
Bulgaria
|
Bulgaria, 5, 0.07%
Bulgaria
5 publications, 0.07%
|
Zambia
|
Zambia, 5, 0.07%
Zambia
5 publications, 0.07%
|
Papua New Guinea
|
Papua New Guinea, 5, 0.07%
Papua New Guinea
5 publications, 0.07%
|
Solomon Islands
|
Solomon Islands, 5, 0.07%
Solomon Islands
5 publications, 0.07%
|
Ecuador
|
Ecuador, 5, 0.07%
Ecuador
5 publications, 0.07%
|
Botswana
|
Botswana, 4, 0.06%
Botswana
4 publications, 0.06%
|
Cameroon
|
Cameroon, 4, 0.06%
Cameroon
4 publications, 0.06%
|
Madagascar
|
Madagascar, 4, 0.06%
Madagascar
4 publications, 0.06%
|
Oman
|
Oman, 4, 0.06%
Oman
4 publications, 0.06%
|
Thailand
|
Thailand, 4, 0.06%
Thailand
4 publications, 0.06%
|
Indonesia
|
Indonesia, 3, 0.04%
Indonesia
3 publications, 0.04%
|
Cuba
|
Cuba, 3, 0.04%
Cuba
3 publications, 0.04%
|
Malaysia
|
Malaysia, 3, 0.04%
Malaysia
3 publications, 0.04%
|
Namibia
|
Namibia, 3, 0.04%
Namibia
3 publications, 0.04%
|
Nigeria
|
Nigeria, 3, 0.04%
Nigeria
3 publications, 0.04%
|
New Caledonia
|
New Caledonia, 3, 0.04%
New Caledonia
3 publications, 0.04%
|
Pakistan
|
Pakistan, 3, 0.04%
Pakistan
3 publications, 0.04%
|
Panama
|
Panama, 3, 0.04%
Panama
3 publications, 0.04%
|
Peru
|
Peru, 3, 0.04%
Peru
3 publications, 0.04%
|
Slovenia
|
Slovenia, 3, 0.04%
Slovenia
3 publications, 0.04%
|
Croatia
|
Croatia, 3, 0.04%
Croatia
3 publications, 0.04%
|
Yugoslavia
|
Yugoslavia, 3, 0.04%
Yugoslavia
3 publications, 0.04%
|
Kazakhstan
|
Kazakhstan, 2, 0.03%
Kazakhstan
2 publications, 0.03%
|
Vanuatu
|
Vanuatu, 2, 0.03%
Vanuatu
2 publications, 0.03%
|
Venezuela
|
Venezuela, 2, 0.03%
Venezuela
2 publications, 0.03%
|
Vietnam
|
Vietnam, 2, 0.03%
Vietnam
2 publications, 0.03%
|
Ghana
|
Ghana, 2, 0.03%
Ghana
2 publications, 0.03%
|
Greenland
|
Greenland, 2, 0.03%
Greenland
2 publications, 0.03%
|
Georgia
|
Georgia, 2, 0.03%
Georgia
2 publications, 0.03%
|
Zimbabwe
|
Zimbabwe, 2, 0.03%
Zimbabwe
2 publications, 0.03%
|
Colombia
|
Colombia, 2, 0.03%
Colombia
2 publications, 0.03%
|
Romania
|
Romania, 2, 0.03%
Romania
2 publications, 0.03%
|
Serbia
|
Serbia, 2, 0.03%
Serbia
2 publications, 0.03%
|
Suriname
|
Suriname, 2, 0.03%
Suriname
2 publications, 0.03%
|
Tanzania
|
Tanzania, 2, 0.03%
Tanzania
2 publications, 0.03%
|
Philippines
|
Philippines, 2, 0.03%
Philippines
2 publications, 0.03%
|
Sri Lanka
|
Sri Lanka, 2, 0.03%
Sri Lanka
2 publications, 0.03%
|
Estonia
|
Estonia, 1, 0.01%
Estonia
1 publication, 0.01%
|
Bolivia
|
Bolivia, 1, 0.01%
Bolivia
1 publication, 0.01%
|
Guyana
|
Guyana, 1, 0.01%
Guyana
1 publication, 0.01%
|
Guatemala
|
Guatemala, 1, 0.01%
Guatemala
1 publication, 0.01%
|
Iraq
|
Iraq, 1, 0.01%
Iraq
1 publication, 0.01%
|
Cambodia
|
Cambodia, 1, 0.01%
Cambodia
1 publication, 0.01%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 1, 0.01%
Democratic Republic of the Congo
1 publication, 0.01%
|
Costa Rica
|
Costa Rica, 1, 0.01%
Costa Rica
1 publication, 0.01%
|
Lesotho
|
Lesotho, 1, 0.01%
Lesotho
1 publication, 0.01%
|
Lithuania
|
Lithuania, 1, 0.01%
Lithuania
1 publication, 0.01%
|
Liechtenstein
|
Liechtenstein, 1, 0.01%
Liechtenstein
1 publication, 0.01%
|
Morocco
|
Morocco, 1, 0.01%
Morocco
1 publication, 0.01%
|
Mozambique
|
Mozambique, 1, 0.01%
Mozambique
1 publication, 0.01%
|
Montserrat
|
Montserrat, 1, 0.01%
Montserrat
1 publication, 0.01%
|
El Salvador
|
El Salvador, 1, 0.01%
El Salvador
1 publication, 0.01%
|
Senegal
|
Senegal, 1, 0.01%
Senegal
1 publication, 0.01%
|
Show all (70 more) | |
500
1000
1500
2000
2500
|
Publishing countries in 5 years
20
40
60
80
100
120
140
|
|
USA
|
USA, 139, 25.36%
USA
139 publications, 25.36%
|
Germany
|
Germany, 116, 21.17%
Germany
116 publications, 21.17%
|
China
|
China, 99, 18.07%
China
99 publications, 18.07%
|
United Kingdom
|
United Kingdom, 72, 13.14%
United Kingdom
72 publications, 13.14%
|
Australia
|
Australia, 69, 12.59%
Australia
69 publications, 12.59%
|
France
|
France, 65, 11.86%
France
65 publications, 11.86%
|
Switzerland
|
Switzerland, 60, 10.95%
Switzerland
60 publications, 10.95%
|
Canada
|
Canada, 49, 8.94%
Canada
49 publications, 8.94%
|
Italy
|
Italy, 38, 6.93%
Italy
38 publications, 6.93%
|
Russia
|
Russia, 26, 4.74%
Russia
26 publications, 4.74%
|
Japan
|
Japan, 23, 4.2%
Japan
23 publications, 4.2%
|
South Africa
|
South Africa, 22, 4.01%
South Africa
22 publications, 4.01%
|
Austria
|
Austria, 20, 3.65%
Austria
20 publications, 3.65%
|
Sweden
|
Sweden, 17, 3.1%
Sweden
17 publications, 3.1%
|
New Zealand
|
New Zealand, 13, 2.37%
New Zealand
13 publications, 2.37%
|
Netherlands
|
Netherlands, 12, 2.19%
Netherlands
12 publications, 2.19%
|
Brazil
|
Brazil, 11, 2.01%
Brazil
11 publications, 2.01%
|
Norway
|
Norway, 9, 1.64%
Norway
9 publications, 1.64%
|
Poland
|
Poland, 9, 1.64%
Poland
9 publications, 1.64%
|
Czech Republic
|
Czech Republic, 9, 1.64%
Czech Republic
9 publications, 1.64%
|
Belgium
|
Belgium, 7, 1.28%
Belgium
7 publications, 1.28%
|
Denmark
|
Denmark, 7, 1.28%
Denmark
7 publications, 1.28%
|
India
|
India, 7, 1.28%
India
7 publications, 1.28%
|
Ireland
|
Ireland, 7, 1.28%
Ireland
7 publications, 1.28%
|
Finland
|
Finland, 7, 1.28%
Finland
7 publications, 1.28%
|
Spain
|
Spain, 6, 1.09%
Spain
6 publications, 1.09%
|
Portugal
|
Portugal, 5, 0.91%
Portugal
5 publications, 0.91%
|
Argentina
|
Argentina, 5, 0.91%
Argentina
5 publications, 0.91%
|
Republic of Korea
|
Republic of Korea, 5, 0.91%
Republic of Korea
5 publications, 0.91%
|
Hungary
|
Hungary, 4, 0.73%
Hungary
4 publications, 0.73%
|
Greece
|
Greece, 4, 0.73%
Greece
4 publications, 0.73%
|
Egypt
|
Egypt, 4, 0.73%
Egypt
4 publications, 0.73%
|
Turkey
|
Turkey, 4, 0.73%
Turkey
4 publications, 0.73%
|
Iceland
|
Iceland, 3, 0.55%
Iceland
3 publications, 0.55%
|
Singapore
|
Singapore, 3, 0.55%
Singapore
3 publications, 0.55%
|
Chile
|
Chile, 3, 0.55%
Chile
3 publications, 0.55%
|
Israel
|
Israel, 2, 0.36%
Israel
2 publications, 0.36%
|
Iran
|
Iran, 2, 0.36%
Iran
2 publications, 0.36%
|
Mongolia
|
Mongolia, 2, 0.36%
Mongolia
2 publications, 0.36%
|
New Caledonia
|
New Caledonia, 2, 0.36%
New Caledonia
2 publications, 0.36%
|
Romania
|
Romania, 2, 0.36%
Romania
2 publications, 0.36%
|
Slovenia
|
Slovenia, 2, 0.36%
Slovenia
2 publications, 0.36%
|
Ethiopia
|
Ethiopia, 2, 0.36%
Ethiopia
2 publications, 0.36%
|
Bulgaria
|
Bulgaria, 1, 0.18%
Bulgaria
1 publication, 0.18%
|
Ghana
|
Ghana, 1, 0.18%
Ghana
1 publication, 0.18%
|
Indonesia
|
Indonesia, 1, 0.18%
Indonesia
1 publication, 0.18%
|
Cameroon
|
Cameroon, 1, 0.18%
Cameroon
1 publication, 0.18%
|
Colombia
|
Colombia, 1, 0.18%
Colombia
1 publication, 0.18%
|
Morocco
|
Morocco, 1, 0.18%
Morocco
1 publication, 0.18%
|
Mexico
|
Mexico, 1, 0.18%
Mexico
1 publication, 0.18%
|
Pakistan
|
Pakistan, 1, 0.18%
Pakistan
1 publication, 0.18%
|
Panama
|
Panama, 1, 0.18%
Panama
1 publication, 0.18%
|
Saudi Arabia
|
Saudi Arabia, 1, 0.18%
Saudi Arabia
1 publication, 0.18%
|
Serbia
|
Serbia, 1, 0.18%
Serbia
1 publication, 0.18%
|
Thailand
|
Thailand, 1, 0.18%
Thailand
1 publication, 0.18%
|
Sri Lanka
|
Sri Lanka, 1, 0.18%
Sri Lanka
1 publication, 0.18%
|
Show all (26 more) | |
20
40
60
80
100
120
140
|
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