Jacques Sakarovitch
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Geometry and Topology top 5%
- Mathematical Physics top 10%
- Co-authors
- Christiane FrougnySylvain LombardyShigeki AkiyamaMarie-Pierre BéalJean-Éric PinChristophe PrieurOlivier CartonPaul E. Schupp
- Topics
- semigroups and automata theory (40 papers)Logic, programming, and type systems (18 papers)Advanced Algebra and Logic (13 papers)
In The Last Decade
Jacques Sakarovitch
41 papers receiving 491 citations
Peers
Comparison fields: 5 of 41
- Computational Theory and Mathematics 473
- Artificial Intelligence 334
- Molecular Biology 110
- Geometry and Topology 77
- Mathematical Physics 54
Countries citing papers authored by Jacques Sakarovitch
This map shows the geographic impact of Jacques Sakarovitch'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 Jacques Sakarovitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Sakarovitch more than expected).
Fields of papers citing papers by Jacques Sakarovitch
This network shows the impact of papers produced by Jacques Sakarovitch. 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 Jacques Sakarovitch. The network helps show where Jacques Sakarovitch may publish in the future.
Co-authorship network of co-authors of Jacques Sakarovitch
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Sakarovitch. A scholar is included among the top collaborators of Jacques Sakarovitch 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 Jacques Sakarovitch. Jacques Sakarovitch 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 | 2 | |
| 3 | 14 | |
| 4 | The language, the expression, and the (small) automaton | 0 |
| 5 | 24 | |
| 6 | 13 | |
| 7 | Eléments de théorie des automates | 57 |
| 8 | 28 | |
| 9 | Squaring transducers: An efficient procedure for deciding functionality and sequentiality | 1 |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 55 | |
| 14 | 14 | |
| 15 | 20 | |
| 16 | 13 | |
| 17 | Pushdown Automata with Terminal Languages (数理情報科学の基礎理論と応用) | 2 |
| 18 | 4 | |
| 19 | A Theory of Syntactic Monoids for Context-Free Languages. | 3 |
| 20 | Sur les monoïdes syntactiques des langages algébriques déterministes. | 1 |
About Jacques Sakarovitch
Jacques Sakarovitch is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Artificial Intelligence, having authored 45 papers that have together received 528 indexed citations. Recurring topics across this work include semigroups and automata theory (40 papers), Logic, programming, and type systems (18 papers) and Advanced Algebra and Logic (13 papers). The work is most often cited by research in Computational Theory and Mathematics (473 citations), Artificial Intelligence (334 citations) and Geometry and Topology (77 citations). Jacques Sakarovitch has collaborated with scholars based in France, Japan and Belgium. Frequent co-authors include Christiane Frougny, Sylvain Lombardy, Shigeki Akiyama, Marie-Pierre Béal, Jean-Éric Pin, Christophe Prieur, Olivier Carton, Paul E. Schupp, Victor Marsault and Heiko Vogler. Their work appears in journals such as American Mathematical Monthly, Theoretical Computer Science and Proceedings of the London Mathematical Society.
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.