Jean-Michel Autebert

30 total papers · 475 total citations
16 papers, 105 citations indexed

About

Jean-Michel Autebert is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Jean-Michel Autebert has authored 16 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 3 papers in Language and Linguistics. Recurrent topics in Jean-Michel Autebert's work include semigroups and automata theory (12 papers), Logic, programming, and type systems (7 papers) and Algorithms and Data Compression (5 papers). Jean-Michel Autebert is often cited by papers focused on semigroups and automata theory (12 papers), Logic, programming, and type systems (7 papers) and Algorithms and Data Compression (5 papers). Jean-Michel Autebert collaborates with scholars based in France and Spain. Jean-Michel Autebert's co-authors include Luc Boasson, Géraud Sénizergues, Maurice Nivat, Philippe Flajolet, Joaquim Gabarró, Joffroy Beauquier, Michel Latteux and Matthieu Latapy and has published in prestigious journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Discrete Applied Mathematics.

In The Last Decade

Jean-Michel Autebert

16 papers receiving 88 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean-Michel Autebert 90 53 21 21 20 16 105
Jürgen Avenhaus 64 0.7× 51 1.0× 16 0.8× 45 2.1× 4 0.2× 16 91
Manfred Kufleitner 85 0.9× 76 1.4× 7 0.3× 9 0.4× 12 0.6× 30 99
Cyril Nicaud 52 0.6× 44 0.8× 15 0.7× 12 0.6× 15 0.8× 20 67
Szymon Toruńczyk 100 1.1× 42 0.8× 18 0.9× 22 1.0× 3 0.1× 29 117
A. N. Trahtman 107 1.2× 44 0.8× 3 0.1× 17 0.8× 49 2.5× 17 142
Emmanuel Jeandel 81 0.9× 86 1.6× 6 0.3× 13 0.6× 3 0.1× 16 128
Mary Cryan 47 0.5× 65 1.2× 15 0.7× 3 0.1× 11 0.6× 16 122
Piotr Zwiernik 25 0.3× 44 0.8× 6 0.3× 18 0.9× 5 0.3× 18 103
Frédéric Mazoit 97 1.1× 32 0.6× 7 0.3× 9 0.4× 21 1.1× 12 123
Dirk Siefkes 138 1.5× 90 1.7× 4 0.2× 27 1.3× 10 0.5× 20 155

Countries citing papers authored by Jean-Michel Autebert

Since Specialization
Citations

This map shows the geographic impact of Jean-Michel Autebert'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 Jean-Michel Autebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Michel Autebert more than expected).

Fields of papers citing papers by Jean-Michel Autebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Michel Autebert. 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 Jean-Michel Autebert. The network helps show where Jean-Michel Autebert may publish in the future.

Co-authorship network of co-authors of Jean-Michel Autebert

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Michel Autebert. A scholar is included among the top collaborators of Jean-Michel Autebert 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 Jean-Michel Autebert. Jean-Michel Autebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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