František Matúš

42 papers receiving 586 citations

Peers

František Matúš
Comparison fields: 5 of 58
  • Computational Theory and Mathematics 276
  • Discrete Mathematics and Combinatorics 38
  • Statistics and Probability 79
  • Statistical and Nonlinear Physics 111
  • Artificial Intelligence 269
Replace Czesław Byliński with:
Czesław Byliński Poland
Valentin Fedorovich Kolchin Russia
Ioana Dumitriu United States
J. Kahn United States
Ralph Neininger Germany
David Aldous United States
Yury Makarychev United States
Vadim Aleksandrovich Malyshev Russia
Dominic Welsh United Kingdom
Gady Kozma Israel
František Matúš relative to Czesław Byliński Poland Czesław Byliński's profile →
Citations per field
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Czesław Byliński · 1×
Citations per year

Countries citing papers authored by František Matúš

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 11 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.

Border = papers with František Matúš Line = papers co-authored together František Matúš links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007138
2 199964
3 199550
4 199939
5 199338
6 200735
7 199533
8 199222
9 200520
10 200118
11 200716
12 199715
13
On maximization of the information divergence from an exponential family
200314
14 201814
15 199412
16 199412
17 200810
18 20129
19 20016
20 20095

About František Matúš

František Matúš is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Statistical and Nonlinear Physics, Management Science and Operations Research and Statistics and Probability, having authored 45 papers that have together received 633 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (10 papers), Bayesian Modeling and Causal Inference (10 papers), Multi-Criteria Decision Making (9 papers), Advanced Algebra and Logic (7 papers), Rough Sets and Fuzzy Logic (6 papers), Mathematical Inequalities and Applications (4 papers), Data Management and Algorithms (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Computational Theory and Mathematics (276 citations), Discrete Mathematics and Combinatorics (38 citations), Statistics and Probability (79 citations), Statistical and Nonlinear Physics (111 citations) and Artificial Intelligence (269 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, Johannes Rauh, Peter Harremoës, Noah Linden, Mary Beth Ruskai, Andreas J. Winter and László Csirmaz. Their work appears in journals such as Discrete Mathematics, Combinatorics Probability Computing, Proceedings of the American Mathematical Society, COMBINATORICA 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.

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