Petr Kůrka
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Molecular Biology
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Alejandro MaassF. BlanchardEnrico FormentiVerena PsykJames RosindellArnošt L. ŠizlingHana JirkováDirk Landgrebe
- Topics
- Cellular Automata and Applications (19 papers)semigroups and automata theory (15 papers)Mathematical Dynamics and Fractals (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica D Nonlinear PhenomenaSAE technical papers on CD-ROM/SAE technical paper series
In The Last Decade
Petr Kůrka
51 papers receiving 454 citations
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 340
- Mathematical Physics 252
- Molecular Biology 84
- Mechanical Engineering 76
- Artificial Intelligence 43
Countries citing papers authored by Petr Kůrka
This map shows the geographic impact of Petr Kůrka'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 Petr Kůrka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Kůrka more than expected).
Fields of papers citing papers by Petr Kůrka
This network shows the impact of papers produced by Petr Kůrka. 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 Petr Kůrka. The network helps show where Petr Kůrka may publish in the future.
Co-authorship network of co-authors of Petr Kůrka
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Kůrka. A scholar is included among the top collaborators of Petr Kůrka 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 Petr Kůrka. Petr Kůrka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | Computational Universality in Symbolic Dynamical Systems | 1 |
| 13 | Cellular automata with vanishing particles | 9 |
| 14 | Local return rates in substitutive subshifts | 2 |
| 15 | Stability of subshifts in cellular automata | 4 |
| 16 | 16 | |
| 17 | 4 | |
| 18 | Cellular Automata in the Cantor, Besicovitch, and Weyl Topological Spaces | 23 |
| 19 | 18 | |
| 20 | 1 |
About Petr Kůrka
Petr Kůrka is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Structural Biology, having authored 53 papers that have together received 493 indexed citations. Recurring topics across this work include Cellular Automata and Applications (19 papers), semigroups and automata theory (15 papers) and Mathematical Dynamics and Fractals (12 papers). The work is most often cited by research in Mathematical Physics (252 citations), Computational Theory and Mathematics (340 citations) and Statistical and Nonlinear Physics (37 citations). Petr Kůrka has collaborated with scholars based in Czechia, Germany and Chile. Frequent co-authors include Alejandro Maass, F. Blanchard, Enrico Formenti, Verena Psyk, James Rosindell, Arnošt L. Šizling, Hana Jirková, Dirk Landgrebe, Štěpán Jeníček and Ludmila Kučerová. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and SAE technical papers on CD-ROM/SAE technical paper series.
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.