Max Dauchet
Impact in
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- semigroups and automata theory
- Formal Methods in Verification
- Artificial Intelligence top 2%
- Logic, programming, and type systems
- Algorithms and Data Compression
- Natural Language Processing Techniques
- Logic, Reasoning, and Knowledge
Papers in
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- semigroups and automata theory 27
- Computability, Logic, AI Algorithms 9
- Formal Methods in Verification 7
- Advanced Algebra and Logic 5
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- Logic, programming, and type systems 17
- Algorithms and Data Compression 8
- Natural Language Processing Techniques 7
- Logic, Reasoning, and Knowledge 5
- Co-authors
- André Arnold (10 shared papers)Éric Rivals (5 shared papers)Jean-Paul Delahaye (4 shared papers)Sophie Tison (7 shared papers)Pierre Lescanne (2 shared papers)Sándor Vágvölgyi (2 shared papers)Rémi Gilleron (2 shared papers)Hélène Touzet (1 shared paper)
In The Last Decade
Max Dauchet
48 papers receiving 857 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 629
- Artificial Intelligence 718
- Software 48
- Discrete Mathematics and Combinatorics 12
- Molecular Biology 226
Countries citing papers authored by Max Dauchet
This map shows the geographic impact of Max Dauchet'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 Max Dauchet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Dauchet more than expected).
Fields of papers citing papers by Max Dauchet
This network shows the impact of papers produced by Max Dauchet. 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 Max Dauchet. The network helps show where Max Dauchet may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Dauchet, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 78 | |
| 2 | 1990 | 63 | |
| 3 | 1982 | 62 | |
| 4 | 1993 | 49 | |
| 5 | 1989 | 48 | |
| 6 | Decidability of the confluence of ground term rewriting systems | 1987 | 47 |
| 7 | 2002 | 45 | |
| 8 | 1994 | 42 | |
| 9 | 1997 | 41 | |
| 10 | 1992 | 39 | |
| 11 | 1995 | 31 | |
| 12 | 1979 | 31 | |
| 13 | 1978 | 28 | |
| 14 | 1976 | 27 | |
| 15 | 1993 | 27 | |
| 16 | 1976 | 26 | |
| 17 | 1994 | 26 | |
| 18 | 1978 | 23 | |
| 19 | 1996 | 22 | |
| 20 | 2017 | 22 |
About Max Dauchet
Max Dauchet is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Geometry and Topology and Mathematical Physics, having authored 52 papers that have together received 938 indexed citations. Recurring topics across this work include semigroups and automata theory (27 papers), Logic, programming, and type systems (17 papers), Computability, Logic, AI Algorithms (9 papers), Algorithms and Data Compression (8 papers), Natural Language Processing Techniques (7 papers), Formal Methods in Verification (7 papers), Advanced Algebra and Logic (5 papers) and Logic, Reasoning, and Knowledge (5 papers). The work is most often cited by research in Computational Theory and Mathematics (629 citations), Artificial Intelligence (718 citations), Software (48 citations), Discrete Mathematics and Combinatorics (12 citations) and Molecular Biology (226 citations). Max Dauchet has collaborated with scholars based in France, Belgium and Hungary. Frequent co-authors include André Arnold, Éric Rivals, Jean-Paul Delahaye, Sophie Tison, Pierre Lescanne, Sándor Vágvölgyi, Rémi Gilleron, Hélène Touzet, Alain Hénaut and Marie-Odile Delorme. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Lecture notes in computer science, Bioinformatics and Biochimie.
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.