František Matúš
Impact in
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- Complexity and Algorithms in Graphs
- Rough Sets and Fuzzy Logic
Papers in
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- Advanced Algebra and Logic 7
- Rough Sets and Fuzzy Logic 7
- Topological and Geometric Data Analysis 3
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- Bayesian Modeling and Causal Inference 10
- Co-authors
- Imre Csiszár (6 shared papers)Milan Studený (1 shared paper)Nihat Ay (2 shared papers)Paolo Gibilisco (1 shared paper)Andreas Winter (1 shared paper)Noah Linden (1 shared paper)Mary Beth Ruskai (1 shared paper)Johannes Rauh (1 shared paper)
In The Last Decade
František Matúš
39 papers receiving 489 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 241
- Discrete Mathematics and Combinatorics 39
- Artificial Intelligence 223
- Statistics and Probability 52
- Computer Networks and Communications 139
Countries citing papers authored by František Matúš
This map shows the geographic impact of František Matúš'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 František Matúš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites František Matúš more than expected).
Fields of papers citing papers by František Matúš
This network shows the impact of papers produced by František Matúš. 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 František Matúš. The network helps show where František Matúš may publish in the future.
Co-authors
The 8 scholars most cited alongside František Matúš, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 119 | |
| 2 | 1999 | 43 | |
| 3 | 1995 | 43 | |
| 4 | 1993 | 34 | |
| 5 | 1999 | 33 | |
| 6 | 2007 | 27 | |
| 7 | 1995 | 24 | |
| 8 | 1992 | 18 | |
| 9 | 1991 | 16 | |
| 10 | 2005 | 16 | |
| 11 | On Gaussian conditional independence structures. | 2007 | 14 |
| 12 | 1997 | 14 | |
| 13 | 2001 | 13 | |
| 14 | 1994 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 1994 | 12 | |
| 17 | 2007 | 11 | |
| 18 | On maximization of the information divergence from an exponential family | 2003 | 8 |
| 19 | 2003 | 6 | |
| 20 | 2008 | 6 |
About František Matúš
František Matúš is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Applied Mathematics and Statistical and Nonlinear Physics, having authored 40 papers that have together received 539 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Multi-Criteria Decision Making (10 papers), Advanced Algebra and Logic (7 papers), Rough Sets and Fuzzy Logic (7 papers), Statistical Mechanics and Entropy (6 papers), Data Management and Algorithms (4 papers), Point processes and geometric inequalities (4 papers) and Topological and Geometric Data Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (241 citations), Discrete Mathematics and Combinatorics (39 citations), Artificial Intelligence (223 citations), Statistics and Probability (52 citations) and Computer Networks and Communications (139 citations). František Matúš has collaborated with scholars based in Czechia, Hungary and Germany. Frequent co-authors include Imre Csiszár, Milan Studený, Nihat Ay, Paolo Gibilisco, Andreas Winter, Noah Linden, Mary Beth Ruskai and Johannes Rauh. Their work appears in journals such as Discrete Mathematics, Kybernetika, Combinatorics Probability Computing, Theoretical Computer Science and Annales de l Institut Henri Poincaré Probabilités et Statistiques.
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.