Jozef Kelemen
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering
- Information Systems
- Co-authors
- Alica KelemenováErzsébet Csuhaj-VarjúGheorghe PǎunPetr Sosı́kJan RomportlJürgen DassowJana HořákováJán Lang
- Topics
- DNA and Biological Computing (20 papers)Modular Robots and Swarm Intelligence (14 papers)Cellular Automata and Applications (7 papers)
In The Last Decade
Jozef Kelemen
45 papers receiving 240 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 124
- Artificial Intelligence 112
- Computational Theory and Mathematics 99
- Mechanical Engineering 97
- Information Systems 26
Countries citing papers authored by Jozef Kelemen
This map shows the geographic impact of Jozef Kelemen'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 Jozef Kelemen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jozef Kelemen more than expected).
Fields of papers citing papers by Jozef Kelemen
This network shows the impact of papers produced by Jozef Kelemen. 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 Jozef Kelemen. The network helps show where Jozef Kelemen may publish in the future.
Co-authorship network of co-authors of Jozef Kelemen
This figure shows the co-authorship network connecting the top 25 collaborators of Jozef Kelemen. A scholar is included among the top collaborators of Jozef Kelemen 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 Jozef Kelemen. Jozef Kelemen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Beyond Artificial Intelligence: The Disappearing Human-Machine Divide | 5 |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Agents from Functional-Computational Perspective | 8 |
| 7 | 2 | |
| 8 | A NOTE ON EMERGENCE IN MULTI-AGENT STRING PROCESSING SYSTEMS | 1 |
| 9 | The Agent Paradigm - Foreword. | 4 |
| 10 | 1 | |
| 11 | Kybergolem : eseje o cestě Adama ke Kyborgovi | 1 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | Grammar Systems with WAvE-like Communication | 5 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Cooperating/Distributed Grammar Systems: a Link between Formal Languages and Artificial Intelligence. | 7 |
| 18 | 1 | |
| 19 | Proceedings of the International Workshop on Fundamentals of Artificial Intelligence Research | 1 |
| 20 | Trends, techniques, and problems in theoretical computer science : 4th International Meeting of Young Computer Scientists, Smolenice, Czechoslovakia, October 13-17, 1986 : selected contributions | 5 |
About Jozef Kelemen
Jozef Kelemen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mechanical Engineering, having authored 54 papers that have together received 269 indexed citations. Recurring topics across this work include DNA and Biological Computing (20 papers), Modular Robots and Swarm Intelligence (14 papers) and Cellular Automata and Applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (99 citations), Software (14 citations) and Artificial Intelligence (112 citations). Jozef Kelemen has collaborated with scholars based in Czechia, Slovakia and Romania. Frequent co-authors include Alica Kelemenová, Erzsébet Csuhaj-Varjú, Gheorghe Pǎun, Petr Sosı́k, Jan Romportl, Jürgen Dassow, Jana Hořáková, Ján Lang, Carlos Martı́n-Vide and Dylan Evans. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science and Applied Artificial Intelligence.
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.