Béla Csaba

640 citations
62 papers · 335 · h-index 10

Impact in

Papers in

Béla Csaba

52 papers receiving 299 citations

Peers

Béla Csaba
Comparison fields: 5 of 86
  • Discrete Mathematics and Combinatorics 141
  • Computational Theory and Mathematics 164
  • Geometry and Topology 67
  • Immunology and Allergy 15
  • Software 8
Replace Rolf S. Rees with:
Rolf S. Rees Canada
D. Jungnickel Germany
Luc Teirlinck United States
Marlene J. Colbourn Canada
C.C. Lindner United States
Giovanni Lo Faro Italy
Jean Doyen Belgium
Luis Cereceda United Kingdom
Ross J. Kang Netherlands
Masakazu Jimbo Japan
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Citations per field
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Citations per year

Countries citing papers authored by Béla Csaba

Since Specialization
Citations

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

Fields of papers citing papers by Béla Csaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Béla Csaba, 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 Béla Csaba Line = papers co-authored together Béla Csaba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201635
2 201029
3 200324
4
Functional heterogeneity of macrophages.
197923
5 201021
6
Platelet activating factor, the trigger of haemostatic alterations in rat anaphylaxis.
197721
7 200220
8 196618
9 200715
10 200710
11 20109
12 19608
13 20167
14 20066
15 20116
16 19706
17 20145
18 20075
19 19714
20
Role of histamine, 5-hydroxytryptamine and bradykinin in the rat anaphylaxis.
19714

About Béla Csaba

Béla Csaba is a scholar working on Computational Theory and Mathematics, Molecular Biology, Discrete Mathematics and Combinatorics, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (12 papers), Limits and Structures in Graph Theory (11 papers), Food Allergy and Anaphylaxis Research (9 papers), graph theory and CDMA systems (6 papers), Complexity and Algorithms in Graphs (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Optimization and Search Problems (4 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (141 citations), Computational Theory and Mathematics (164 citations), Geometry and Topology (67 citations), Immunology and Allergy (15 citations) and Software (8 citations). Béla Csaba has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include József Balogh, Wojciech Samotij, László Muszbek, S. Tóth, László Fésüs, Endre Szemerédi, M Kávai, Piotr Krysta, Daniela Kühn and Marek Karpiński. Their work appears in journals such as Allergy, Cellular and Molecular Life Sciences, Random Structures and Algorithms, The Electronic Journal of Combinatorics and Science of Computer Programming.

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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