Jiřı́ Šı́ma
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Machine Learning and Algorithms
- Fuzzy Logic and Control Systems
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- Computability, Logic, AI Algorithms
Papers in
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- Neural Networks and Applications 13
- Machine Learning and Algorithms 8
- Machine Learning and Data Classification 4
- Fuzzy Logic and Control Systems 3
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- semigroups and automata theory 6
- Cellular Automata and Applications 3
- Co-authors
- Pekka Orponen (5 shared papers)P. Hasal (3 shared papers)Jiřı́ Wiedermann (2 shared papers)L. Valenz (1 shared paper)V. Linek (1 shared paper)F.J. Rejl (1 shared paper)Ondřej Šikula (2 shared papers)Vít Vilímek (2 shared papers)
In The Last Decade
Jiřı́ Šı́ma
34 papers receiving 409 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 192
- Computational Theory and Mathematics 62
- Filtration and Separation 6
- Renewable Energy, Sustainability and the Environment 45
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Jiřı́ Šı́ma
This map shows the geographic impact of Jiřı́ Šı́ma'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 Jiřı́ Šı́ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiřı́ Šı́ma more than expected).
Fields of papers citing papers by Jiřı́ Šı́ma
This network shows the impact of papers produced by Jiřı́ Šı́ma. 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 Jiřı́ Šı́ma. The network helps show where Jiřı́ Šı́ma may publish in the future.
Co-authors
The 21 scholars most cited alongside Jiřı́ Šı́ma, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 94 | |
| 2 | 2013 | 56 | |
| 3 | 2011 | 33 | |
| 4 | 1996 | 32 | |
| 5 | 1995 | 32 | |
| 6 | 2014 | 21 | |
| 7 | 2002 | 18 | |
| 8 | 1994 | 18 | |
| 9 | 1998 | 17 | |
| 10 | 2010 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2014 | 11 | |
| 13 | 2000 | 10 | |
| 14 | 2003 | 10 | |
| 15 | 2003 | 9 | |
| 16 | 2005 | 6 | |
| 17 | 2017 | 5 | |
| 18 | Hopfield Languages | 1995 | 4 |
| 19 | 2015 | 4 | |
| 20 | 2010 | 4 |
About Jiřı́ Šı́ma
Jiřı́ Šı́ma is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Building and Construction and Computer Networks and Communications, having authored 37 papers that have together received 440 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Machine Learning and Algorithms (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Advanced Memory and Neural Computing (7 papers), semigroups and automata theory (6 papers), Machine Learning and Data Classification (4 papers), Fuzzy Logic and Control Systems (3 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Computational Theory and Mathematics (62 citations), Filtration and Separation (6 citations), Renewable Energy, Sustainability and the Environment (45 citations) and Statistical and Nonlinear Physics (23 citations). Jiřı́ Šı́ma has collaborated with scholars based in Czechia and Finland. Frequent co-authors include Pekka Orponen, P. Hasal, Jiřı́ Wiedermann, L. Valenz, V. Linek, F.J. Rejl, Ondřej Šikula, Vít Vilímek, Jiřı́ Sgall and Vladislav Rapprich. Their work appears in journals such as Neural Computation, Neural Networks, Theoretical Computer Science, Landslides and Journal of the ACM.
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.