Max Dauchet

25 papers and 336 indexed citations i.

About

Max Dauchet is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Max Dauchet has authored 25 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Max Dauchet’s work include semigroups and automata theory (11 papers), Algorithms and Data Compression (6 papers) and Computability, Logic, AI Algorithms (3 papers). Max Dauchet is often cited by papers focused on semigroups and automata theory (11 papers), Algorithms and Data Compression (6 papers) and Computability, Logic, AI Algorithms (3 papers). Max Dauchet collaborates with scholars based in France, Belgium and Hungary. Max Dauchet's co-authors include André Arnold, Hélène Touzet, Éric Rivals, Sophie Tison, Pierre Lescanne, Jean‐Paul Delahaye, Sándor Vágvölgyi, Rémi Gilleron, Évelyne Ollivier and Marie-Odile Delorme and has published in prestigious journals such as Bioinformatics, Biochimie and Journal of Computer and System Sciences.

In The Last Decade

Co-authorship network of co-authors of Max Dauchet i

Fields of papers citing papers by Max Dauchet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Max Dauchet

Since Specialization
Citations

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).

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.

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2025