Ferenc Gécseg
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Networks and Communications
- Software top 10%
- Co-authors
- Zoltán FülöpHartmut EhrigMagnus SteinbyHelmut JürgensenZoltán ÉsikJános CsirikJános Demetrovics
- Topics
- semigroups and automata theory (19 papers)Formal Methods in Verification (8 papers)DNA and Biological Computing (6 papers)
In The Last Decade
Ferenc Gécseg
20 papers receiving 479 citations
Peers
Comparison fields: 5 of 41
- Computational Theory and Mathematics 411
- Artificial Intelligence 372
- Molecular Biology 77
- Computer Networks and Communications 38
- Software 33
Countries citing papers authored by Ferenc Gécseg
This map shows the geographic impact of Ferenc Gécseg'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 Ferenc Gécseg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferenc Gécseg more than expected).
Fields of papers citing papers by Ferenc Gécseg
This network shows the impact of papers produced by Ferenc Gécseg. 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 Ferenc Gécseg. The network helps show where Ferenc Gécseg may publish in the future.
Co-authorship network of co-authors of Ferenc Gécseg
This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Gécseg. A scholar is included among the top collaborators of Ferenc Gécseg 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 Ferenc Gécseg. Ferenc Gécseg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | On the closedness of nilpotent DR tree languages under boolean operations | 1 |
| 4 | 5 | |
| 5 | 5 | |
| 6 | On isomorphic representations of generalized definite automata | 1 |
| 7 | ON SOME CLASSES OF TREE AUTOMATA AND TREE LANGUAGES | 2 |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | On isomorphic metric equivalence of ν i . | 1 |
| 14 | Metric representations by v i | 1 |
| 15 | Tree automata | 340 |
| 16 | General products and equational classes of automata. | 1 |
| 17 | Proceedings of the 1981 International FCT-Conference on Fundamentals of Computation Theory | 1 |
| 18 | Minimal ascending tree automata. | 14 |
| 19 | On α i -product of tree automata | 0 |
| 20 | 64 |
About Ferenc Gécseg
Ferenc Gécseg is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Algebra and Number Theory, having authored 26 papers that have together received 532 indexed citations. Recurring topics across this work include semigroups and automata theory (19 papers), Formal Methods in Verification (8 papers) and DNA and Biological Computing (6 papers). The work is most often cited by research in Computational Theory and Mathematics (411 citations), Artificial Intelligence (372 citations) and Software (33 citations). Ferenc Gécseg has collaborated with scholars based in Hungary and Canada. Frequent co-authors include Zoltán Fülöp, Hartmut Ehrig, Magnus Steinby, Helmut Jürgensen, Zoltán Ésik, János Csirik and János Demetrovics. Their work appears in journals such as Mathematics of Computation, Theoretical Computer Science and Discrete Applied Mathematics.
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.