Jean-Marc Champarnaud

101 total papers · 872 total citations
46 papers, 269 citations indexed

About

Jean-Marc Champarnaud is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jean-Marc Champarnaud has authored 46 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Theory and Mathematics, 28 papers in Artificial Intelligence and 17 papers in Molecular Biology. Recurrent topics in Jean-Marc Champarnaud's work include semigroups and automata theory (34 papers), Logic, programming, and type systems (16 papers) and Algorithms and Data Compression (15 papers). Jean-Marc Champarnaud is often cited by papers focused on semigroups and automata theory (34 papers), Logic, programming, and type systems (16 papers) and Algorithms and Data Compression (15 papers). Jean-Marc Champarnaud collaborates with scholars based in France, United Kingdom and United States. Jean-Marc Champarnaud's co-authors include Djelloul Ziadi, G. Hansel, Denis Maurel, Pascal Caron, Dominique Perrin, Frédéric Coulon, Jean-Éric Pin, André Kempe, Jason Eisner and Gérard Duchamp and has published in prestigious journals such as Theoretical Computer Science, Lecture notes in computer science and Discrete Applied Mathematics.

In The Last Decade

Jean-Marc Champarnaud

39 papers receiving 235 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-Marc Champarnaud 229 201 97 20 20 46 269
Artur Jeż 178 0.8× 191 1.0× 65 0.7× 32 1.6× 17 0.8× 37 244
P.R.J. Asveld 225 1.0× 191 1.0× 85 0.9× 10 0.5× 6 0.3× 58 293
Sabrina Mantaci 125 0.5× 191 1.0× 114 1.2× 7 0.3× 20 1.0× 24 240
Tomasz Kociumaka 113 0.5× 156 0.8× 78 0.8× 42 2.1× 31 1.6× 53 223
Jamie Simpson 160 0.7× 153 0.8× 77 0.8× 4 0.2× 11 0.6× 31 221
Danièle Beauquier 197 0.9× 117 0.6× 55 0.6× 18 0.9× 9 0.5× 22 245
Véronique Bruyère 214 0.9× 137 0.7× 27 0.3× 9 0.5× 14 0.7× 51 250
Andrzej Szepietowski 152 0.7× 77 0.4× 41 0.4× 60 3.0× 13 0.7× 35 223
Wojciech Plandowski 152 0.7× 188 0.9× 34 0.4× 13 0.7× 12 0.6× 27 232
Pavol Ďuriš 142 0.6× 110 0.5× 31 0.3× 51 2.5× 7 0.3× 21 183

Countries citing papers authored by Jean-Marc Champarnaud

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Champarnaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Marc Champarnaud

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Champarnaud. A scholar is included among the top collaborators of Jean-Marc Champarnaud 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-Marc Champarnaud. Jean-Marc Champarnaud 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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