Ivan Chajda

2.1k citations
282 papers · 1.3k · h-index 17

Impact in

Papers in

Ivan Chajda

230 papers receiving 1.2k citations

Peers

Ivan Chajda
Comparison fields: 5 of 21
  • Computational Theory and Mathematics 1.3k
  • Discrete Mathematics and Combinatorics 40
  • Algebra and Number Theory 23
  • Geometry and Topology 42
  • Management Science and Operations Research 23
Replace Jaroslav Ježek with:
Jaroslav Ježek Czechia
Boris M. Schein United States
Vincenzo Marra Italy
Federico G. Infusino Italy
Michel Rigo Belgium
Radomír Halaš Czechia
Ricardo D. Katz Argentina
Mustapha Chellali Algeria
Pierre Duchet France
Margit Voigt Germany
Ivan Chajda relative to Jaroslav Ježek Czechia Jaroslav Ježek's profile →
Citations per field
00.5×2×4×6×8×9.8×
Jaroslav Ježek · 1×
Citations per year

Countries citing papers authored by Ivan Chajda

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Chajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ivan Chajda, 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 Ivan Chajda Line = papers co-authored together Ivan Chajda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 282 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200862
2
Congruence classes in universal algebra
200343
3 201130
4 200828
5 198925
6 201124
7 199523
8 199823
9 200923
10 201223
11 197622
12 200122
13 200720
14 200419
15 201219
16 201719
17 200717
18 200516
19 200916
20
Directoids : an algebraic approach to ordered sets
201116

About Ivan Chajda

Ivan Chajda is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 282 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Algebra and Logic (270 papers), Advanced Topology and Set Theory (13 papers), Rings, Modules, and Algebras (9 papers), semigroups and automata theory (9 papers), Advanced Combinatorial Mathematics (7 papers), Algebraic Geometry and Number Theory (4 papers), Advanced Banach Space Theory (3 papers) and Mathematics and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Discrete Mathematics and Combinatorics (40 citations), Algebra and Number Theory (23 citations), Geometry and Topology (42 citations) and Management Science and Operations Research (23 citations). Ivan Chajda has collaborated with scholars based in Czechia, Austria and Italy. Frequent co-authors include Helmut Länger, Radomír Halaš, Jan Kühr, Jan Paseka, Bohdan Zelinka, Jiří Rachůnek, Václav Snåšel, Antonio Ledda, Ivo G. Rosenberg and Gábor Czédli. Their work appears in journals such as Soft Computing, Fuzzy Sets and Systems, Logic Journal of IGPL, Discrete Mathematics and Journal of Logic and Computation.

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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