Libor Běhounek

596 citations
37 papers · 436 · h-index 11

Impact in

Papers in

Libor Běhounek

36 papers receiving 415 citations

Peers

Libor Běhounek
Comparison fields: 5 of 60
  • Computational Theory and Mathematics 336
  • Management Science and Operations Research 142
  • Artificial Intelligence 268
  • Statistics and Probability 38
  • Signal Processing 24
Replace Sundas Shahzadi with:
Sundas Shahzadi Pakistan
D. Dubois France
Tomáš Kroupa Czechia
Davide Petturiti Italy
D. Boixader Spain
Maciej Wygralak Poland
Susana Cubillo Spain
M.G. Karunambigai India
Xingxing He China
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Citations per field
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Citations per year

Countries citing papers authored by Libor Běhounek

Since Specialization
Citations

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

Fields of papers citing papers by Libor Běhounek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Libor Běhounek, 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 Libor Běhounek Line = papers co-authored together Libor Běhounek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200591
2 200556
3 200840
4 200534
5 200732
6 201528
7 201624
8 200714
9 200713
10 201912
11 201811
12 20149
13
Towards a formal theory of fuzzy Dedekind reals
20056
14 20076
15 20195
16 20055
17 20195
18
Interior-Based Topology in Fuzzy Class Theory.
20074
19 20174
20 20124

About Libor Běhounek

Libor Běhounek is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics and Probability and Signal Processing, having authored 37 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (32 papers), Rough Sets and Fuzzy Logic (27 papers), Logic, Reasoning, and Knowledge (17 papers), Multi-Criteria Decision Making (9 papers), Fuzzy Logic and Control Systems (8 papers), Logic, programming, and type systems (5 papers), Fuzzy and Soft Set Theory (4 papers) and Fuzzy Systems and Optimization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (336 citations), Management Science and Operations Research (142 citations), Artificial Intelligence (268 citations), Statistics and Probability (38 citations) and Signal Processing (24 citations). Libor Běhounek has collaborated with scholars based in Czechia, Austria and Slovakia. Frequent co-authors include Petr Cintula, Martina Daňková, Ulrich Bodenhofer, Vilém Novák, Tomáš Kroupa, Antonı́n Dvořák, Michal Burda, Peter Sarkoci, Martin Štěpnička and Aleš Dolný. Their work appears in journals such as Fuzzy Sets and Systems, Synthese, Journal of Applied Non-Classical Logics, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and International Journal of Approximate Reasoning.

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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