Á. Császár

75 papers receiving 1.1k citations

Peers

Á. Császár
Comparison fields: 5 of 52
  • Management Science and Operations Research 1.0k
  • Computational Theory and Mathematics 919
  • Algebra and Number Theory 229
  • Geometry and Topology 396
  • Mathematical Physics 126
Replace Takashi Noiri with:
Takashi Noiri Japan
Gabriele Castellini Puerto Rico
A. K. Katsaras Greece
D. C. Kent United States
S.E. Rodabaugh United States
A.V. Arhangel'skiı̌ United States
Gary Gruenhage United States
Javier Gutiérrez García Spain
P. Corsini Italy
Marion Scheepers United States
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Citations per year

Countries citing papers authored by Á. Császár

Since Specialization
Citations

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

Fields of papers citing papers by Á. Császár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Á. Császár, 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 Á. Császár Line = papers co-authored together Á. Császár links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002246
2 2005154
3 1997135
4 196473
5 200451
6 200845
7 200340
8 195537
9 200737
10 200636
11 200631
12 198131
13 200830
14
Fondements de la topologie générale
196026
15 201026
16 197925
17
Topology with applications
199523
18 199819
19 200817
20 199016

About Á. Császár

Á. Császár is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Geometry and Topology, Algebra and Number Theory and Mathematical Physics, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (34 papers), Advanced Algebra and Logic (28 papers), Rings, Modules, and Algebras (20 papers), Advanced Topology and Set Theory (19 papers), Advanced Topics in Algebra (10 papers), Homotopy and Cohomology in Algebraic Topology (5 papers), Advanced Banach Space Theory (5 papers) and Functional Equations Stability Results (4 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Computational Theory and Mathematics (919 citations), Algebra and Number Theory (229 citations), Geometry and Topology (396 citations) and Mathematical Physics (126 citations). Á. Császár has collaborated with scholars based in Hungary, Slovakia and Germany. Frequent co-authors include Miklós Laczkovich, Endre Makai, Zoltán M. Balogh, Zoltán Szentmiklóssy, Piotr Koszmider, S. Mrówka, Bolyai János Matematikai Társulat and Steven I. Marcus. Their work appears in journals such as Acta Mathematica Academiae Scientiarum Hungaricae, British Journal of Educational Studies, Journal of Mathematical Analysis and Applications, Bulletin of Symbolic Logic and Fundamenta Mathematicae.

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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