Csaba Varga

2.9k total citations
140 papers, 2.2k citations indexed

About

Csaba Varga is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Molecular Biology. According to data from OpenAlex, Csaba Varga has authored 140 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Theory and Mathematics, 42 papers in Applied Mathematics and 29 papers in Molecular Biology. Recurrent topics in Csaba Varga's work include Nonlinear Partial Differential Equations (37 papers), Advanced Mathematical Modeling in Engineering (26 papers) and Contact Mechanics and Variational Inequalities (18 papers). Csaba Varga is often cited by papers focused on Nonlinear Partial Differential Equations (37 papers), Advanced Mathematical Modeling in Engineering (26 papers) and Contact Mechanics and Variational Inequalities (18 papers). Csaba Varga collaborates with scholars based in Hungary, Romania and Italy. Csaba Varga's co-authors include Anikó Pósa, Alexandru Kristály, A. Berkó, Krisztina Kupai, Brendan J.R. Whittle, Ferenc László, Szilvia Török, Médea Veszelka, Monica-Felicia Bota and Zsolt Murlasits and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and International Journal of Molecular Sciences.

In The Last Decade

Csaba Varga

136 papers receiving 2.1k citations

Peers

Csaba Varga
Comparison fields: 5 of 140
  • Molecular Biology 513
  • Computational Theory and Mathematics 398
  • Applied Mathematics 383
  • Physiology 327
  • Surgery 244
Replace Jasenka Zubcevic with:
Jasenka Zubcevic United States
Jingchun Chen United States
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Huan Li China
Imrich Blasko Austria
Ina Schuppe‐Koistinen Sweden
Xiaoyan Shi China
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Citations per field, relative to Csaba Varga
Csaba Varga · 1×
Citations per year, relative to Csaba Varga
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Countries citing papers authored by Csaba Varga

Since Specialization
Citations

This map shows the geographic impact of Csaba Varga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Csaba Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Varga more than expected).

Fields of papers citing papers by Csaba Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Csaba Varga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Csaba Varga. The network helps show where Csaba Varga may publish in the future.

Co-authorship network of co-authors of Csaba Varga

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Varga. A scholar is included among the top collaborators of Csaba Varga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Csaba Varga. Csaba Varga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 13
4 7
5 9
6 9
7 11
8 11
9 18
10 13
11
Novel features of the rat model of inflammatory bowel disease based on 2,4,6-trinitrobenzenesulfonic acidinduced acute colitis
3
12
Systems of nonlinear hemivariational inequalities and applications
7
13 8
14 1
15 8
16 5
17 30
18
THE DISPERSING OF GEODESICS IN BERWALD SPACES OF NON-POSITIVE FLAG CURVATURE
3
19 4
20 22

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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