Csaba Varga

3.0k citations
141 papers · 2.3k · h-index 24

Impact in

Papers in

Csaba Varga

137 papers receiving 2.2k citations

Peers

Csaba Varga
Comparison fields: 5 of 137
  • Applied Mathematics 393
  • Computational Theory and Mathematics 408
  • Behavioral Neuroscience 60
  • Rehabilitation 101
  • Endocrine and Autonomic Systems 97
Replace И. Н. Сергеев with:
И. Н. Сергеев Russia
Óscar Moreno Spain
F. Piette France
Shan Zhang China
Réginald Nadeau Canada
Niall Anderson United Kingdom
Xiaoyan Shi China
Johan Gabrielsson Sweden
Huan Li China
Laura K. Stewart United States
Csaba Varga relative to И. Н. Сергеев Russia И. Н. Сергеев's profile →
Citations per field
00.5×10×20×31.4×
И. Н. Сергеев · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Csaba Varga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Csaba Varga Line = papers co-authored together Csaba Varga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016232
2 2017125
3 200596
4 200586
5 201085
6
ON EKELAND'S VARIATIONAL PRINCIPLE IN b-METRIC SPACES
201173
7 200867
8 200752
9 201444
10 200741
11 200638
12 201937
13 201537
14 200737
15 201134
16 201833
17 201532
18 200732
19 200630
20 199530

About Csaba Varga

Csaba Varga is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Molecular Biology, Social Psychology and Mathematical Physics, having authored 141 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (37 papers), Advanced Mathematical Modeling in Engineering (26 papers), Contact Mechanics and Variational Inequalities (18 papers), Heme Oxygenase-1 and Carbon Monoxide (17 papers), Neuroendocrine regulation and behavior (16 papers), Nonlinear Differential Equations Analysis (13 papers), Stress Responses and Cortisol (8 papers) and Numerical methods in engineering (8 papers). The work is most often cited by research in Applied Mathematics (393 citations), Computational Theory and Mathematics (408 citations), Behavioral Neuroscience (60 citations), Rehabilitation (101 citations) and Endocrine and Autonomic Systems (97 citations). Csaba Varga has collaborated with scholars based in Hungary, Romania and United States. Frequent 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. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, European Journal of Pharmacology, Nonlinear Analysis, International Journal of Molecular Sciences and Antioxidants.

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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