Csaba Mészáros

960 citations
41 papers · 568 · h-index 12

Impact in

Papers in

Csaba Mészáros

37 papers receiving 513 citations

Peers

Csaba Mészáros
Comparison fields: 5 of 91
  • Numerical Analysis 261
  • Computational Theory and Mathematics 261
  • Control and Systems Engineering 114
  • Computer Graphics and Computer-Aided Design 17
  • Atmospheric Science 58
Replace Morteza Pakdaman with:
Morteza Pakdaman Iran
Angelo Guerraggio Italy
Giray Ökten United States
Dean A. Carlson United States
Larry Nazareth United States
Dennis G. Zill United States
David B. Reister United States
C. D. Cullum United States
Natalia Romero Spain
Csaba Mészáros relative to Morteza Pakdaman Iran Morteza Pakdaman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Csaba Mészáros

Since Specialization
Citations

This map shows the geographic impact of Csaba Mészáros'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 Mészáros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Mészáros more than expected).

Fields of papers citing papers by Csaba Mészáros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Csaba Mészáros. 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 Mészáros. The network helps show where Csaba Mészáros may publish in the future.

Co-authors

The 18 scholars most cited alongside Csaba Mészáros, 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 Mészáros Line = papers co-authored together Csaba Mészáros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996113
2 201778
3 199978
4 199960
5 199652
6 199821
7 199820
8 199513
9 201812
10 200512
11 199712
12 200812
13 20078
14 20127
15 20206
16 19996
17 20195
18 19985
19 20214
20 20114

About Csaba Mészáros

Csaba Mészáros is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Sociology and Political Science and General Health Professions, having authored 41 papers that have together received 568 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (22 papers), Matrix Theory and Algorithms (12 papers), Optimization and Variational Analysis (9 papers), Advanced Control Systems Optimization (7 papers), Indigenous Studies and Ecology (6 papers), Arctic and Russian Policy Studies (5 papers), Numerical Methods and Algorithms (5 papers) and Iterative Methods for Nonlinear Equations (3 papers). The work is most often cited by research in Numerical Analysis (261 citations), Computational Theory and Mathematics (261 citations), Control and Systems Engineering (114 citations), Computer Graphics and Computer-Aided Design (17 citations) and Atmospheric Science (58 citations). Csaba Mészáros has collaborated with scholars based in Hungary, United Kingdom and Switzerland. Frequent co-authors include István Maros, Jacek Gondzio, Xiaojie Xu, Tetsuya Hiyama, Susan A. Crate, Roman Desyatkin, Mathias Ulrich, Joachim Otto Habeck, Stanislav Ksenofontov and Alexander N. Fedorov. Their work appears in journals such as Optimization methods & software, European Journal of Operational Research, Traditiones, Sibirica and Computers & Mathematics with Applications.

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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