Béla Csaba

640 citations
58 papers · 272 · h-index 10

Impact in

Papers in

Béla Csaba

48 papers receiving 244 citations

Peers

Béla Csaba
Comparison fields: 5 of 80
  • Discrete Mathematics and Combinatorics 105
  • Computational Theory and Mathematics 120
  • Geometry and Topology 51
  • Immunology and Allergy 14
  • Software 8
Replace James A. MacDougall with:
James A. MacDougall Australia
F.E. Bennett Canada
Ladislav Stacho Canada
Masakazu Jimbo Japan
D. Jungnickel Germany
Luc Teirlinck United States
G. Ge Canada
Jian-Hua Yin China
Giovanni Lo Faro Italy
C.C. Lindner United States
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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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201630
2 201025
3
Functional heterogeneity of macrophages.
197922
4 200319
5
Platelet activating factor, the trigger of haemostatic alterations in rat anaphylaxis.
197719
6 201016
7 196614
8 200213
9 200712
10 20079
11 19607
12 20165
13 20145
14 20065
15 19705
16 19714
17 20074
18
Isolation of antibodies by gel-filtration.
19664
19 20093
20
A note on the Caro-Tuza bound on the independence number of uniform hypergraphs ∗
20123

About Béla Csaba

Béla Csaba is a scholar working on Molecular Biology, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (11 papers), Limits and Structures in Graph Theory (9 papers), Food Allergy and Anaphylaxis Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), graph theory and CDMA systems (5 papers), Optimization and Search Problems (4 papers), Ion channel regulation and function (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (105 citations), Computational Theory and Mathematics (120 citations), Geometry and Topology (51 citations), Immunology and Allergy (14 citations) and Software (8 citations). Béla Csaba has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include László Muszbek, József Balogh, Wojciech Samotij, M Kávai, László Fésüs, S. Tóth, Allan Lo, Endre Szemerédi, Daniela Kühn and Deryk Osthus. Their work appears in journals such as Allergy, Cellular and Molecular Life Sciences, The Electronic Journal of Combinatorics, Random Structures and Algorithms and American Journal of Physiology-Legacy Content.

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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