Ivan Chajda
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Algebra and Logic
- Rough Sets and Fuzzy Logic
- semigroups and automata theory
- Algebra and Number Theory top 5%
- Rings, Modules, and Algebras
- Advanced Topics in Algebra
Papers in
-
- Advanced Algebra and Logic 248
- Rough Sets and Fuzzy Logic 116
- semigroups and automata theory 22
-
- Fuzzy and Soft Set Theory 90
- Multi-Criteria Decision Making 12
- Co-authors
- Helmut Länger (72 shared papers)Radomír Halaš (34 shared papers)Jan Kühr (16 shared papers)Bohdan Zelinka (15 shared papers)Jan Paseka (17 shared papers)Jiří Rachůnek (4 shared papers)Václav Snåšel (1 shared paper)Gábor Czédli (5 shared papers)
In The Last Decade
Ivan Chajda
225 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 36
- Computational Theory and Mathematics 1.2k
- Algebra and Number Theory 242
- Management Science and Operations Research 637
- Artificial Intelligence 387
- Geometry and Topology 73
Countries citing papers authored by Ivan Chajda
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
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 25 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.
All Works
Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 63 | |
| 2 | Congruence classes in universal algebra | 2003 | 43 |
| 3 | 2008 | 30 | |
| 4 | 2011 | 28 | |
| 5 | 1995 | 26 | |
| 6 | 1976 | 23 | |
| 7 | 2011 | 23 | |
| 8 | 2001 | 22 | |
| 9 | 2012 | 22 | |
| 10 | 1998 | 21 | |
| 11 | 1989 | 20 | |
| 12 | 2004 | 20 | |
| 13 | Complemented ordered sets | 1992 | 19 |
| 14 | 2007 | 18 | |
| 15 | Lattices and semilattices having an antitone involution in every upper interval | 2003 | 17 |
| 16 | 2012 | 17 | |
| 17 | 2007 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2009 | 16 | |
| 20 | Directoids : an algebraic approach to ordered sets | 2011 | 15 |
About Ivan Chajda
Ivan Chajda is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Algebra and Number Theory and Geometry and Topology, having authored 284 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Algebra and Logic (248 papers), Rough Sets and Fuzzy Logic (116 papers), Fuzzy and Soft Set Theory (90 papers), Logic, Reasoning, and Knowledge (69 papers), Rings, Modules, and Algebras (39 papers), Advanced Topics in Algebra (23 papers), semigroups and automata theory (22 papers) and Multi-Criteria Decision Making (12 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Algebra and Number Theory (242 citations), Management Science and Operations Research (637 citations), Artificial Intelligence (387 citations) and Geometry and Topology (73 citations). Ivan Chajda has collaborated with scholars based in Czechia, Austria and Italy. Frequent co-authors include Helmut Länger, Radomír Halaš, Jan Kühr, Bohdan Zelinka, Jan Paseka, Jiří Rachůnek, Václav Snåšel, Gábor Czédli, Antonio Ledda and Ivo G. Rosenberg. 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.