Libor Běhounek
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Statistics and Probability top 10%
- Signal Processing
- Co-authors
- Petr CintulaMartina DaňkováUlrich BodenhoferVilém NovákAleš DolnýPeter SarkociAntonı́n DvořákTomáš Kroupa
- Topics
- Advanced Algebra and Logic (26 papers)Rough Sets and Fuzzy Logic (22 papers)Logic, Reasoning, and Knowledge (11 papers)
In The Last Decade
Libor Běhounek
30 papers receiving 296 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 242
- Artificial Intelligence 180
- Management Science and Operations Research 111
- Statistics and Probability 32
- Signal Processing 12
Countries citing papers authored by Libor Běhounek
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
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-authorship network of co-authors of Libor Běhounek
This figure shows the co-authorship network connecting the top 25 collaborators of Libor Běhounek. A scholar is included among the top collaborators of Libor Běhounek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Libor Běhounek. Libor Běhounek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | Number-free Mathematics Based on T-norm Fuzzy Logic. | 1 |
| 11 | Logical Foundations of Fuzzy Mathematics | 3 |
| 12 | 1 | |
| 13 | Interior-Based Topology in Fuzzy Class Theory. | 4 |
| 14 | 3 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | Towards a formal theory of fuzzy Dedekind reals | 5 |
| 18 | 47 | |
| 19 | 70 | |
| 20 | 29 |
About Libor Běhounek
Libor Běhounek is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 30 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (26 papers), Rough Sets and Fuzzy Logic (22 papers) and Logic, Reasoning, and Knowledge (11 papers). The work is most often cited by research in Computational Theory and Mathematics (242 citations), Management Science and Operations Research (111 citations) and Artificial Intelligence (180 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, Aleš Dolný, Peter Sarkoci, Antonı́n Dvořák, Tomáš Kroupa, Martin Štěpnička and Michal Burda. Their work appears in journals such as Gene, Fuzzy Sets and 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.