Thierry Charnois

154 total papers · 869 total citations
28 papers, 133 citations indexed

About

Thierry Charnois is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Thierry Charnois has authored 28 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in Thierry Charnois's work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Data Mining Algorithms and Applications (6 papers). Thierry Charnois is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Data Mining Algorithms and Applications (6 papers). Thierry Charnois collaborates with scholars based in France, Algeria and Czechia. Thierry Charnois's co-authors include Nadi Tomeh, Bruno Crémilleux, Marc Plantevit, Thierry Poibeau, Peggy Cellier, Christophe Rigotti, Jǐŕı Kléma, Samir Loudni, Davide Buscaldi and Patrice Boizumault and has published in prestigious journals such as Journal of Biomedical Semantics, Constraints and Revue d intelligence artificielle.

In The Last Decade

Thierry Charnois

25 papers receiving 130 citations

Author Peers

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

Author Last Decade Papers Cites
Thierry Charnois 95 39 18 17 15 28 133
Soumya Paul 45 0.5× 29 0.7× 11 0.6× 31 1.8× 9 0.6× 21 143
Rani Nelken 201 2.1× 28 0.7× 17 0.9× 12 0.7× 16 1.1× 18 234
Denis Maurel 120 1.3× 16 0.4× 25 1.4× 21 1.2× 7 0.5× 41 149
Hilan Bensusan 231 2.4× 44 1.1× 32 1.8× 9 0.5× 10 0.7× 28 272
Tim Vieira 227 2.4× 39 1.0× 10 0.6× 8 0.5× 6 0.4× 20 260
Gabriel Pereira Lopes 215 2.3× 36 0.9× 7 0.4× 16 0.9× 11 0.7× 42 244
Michel Gagnon 134 1.4× 46 1.2× 14 0.8× 18 1.1× 7 0.5× 37 168
Renata Wassermann 271 2.9× 43 1.1× 64 3.6× 14 0.8× 24 1.6× 42 291
Qiu Ji 98 1.0× 44 1.1× 22 1.2× 20 1.2× 11 0.7× 16 104
Yue Ma 88 0.9× 20 0.5× 21 1.2× 19 1.1× 9 0.6× 25 118

Countries citing papers authored by Thierry Charnois

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Charnois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thierry Charnois. 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 Thierry Charnois. The network helps show where Thierry Charnois may publish in the future.

Co-authorship network of co-authors of Thierry Charnois

This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Charnois. A scholar is included among the top collaborators of Thierry Charnois 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 Thierry Charnois. Thierry Charnois 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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