Thierry Charnois

871 total citations
27 papers, 134 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 27 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 22 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 Advanced Text Analysis Techniques (6 papers). Thierry Charnois is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (6 papers). Thierry Charnois collaborates with scholars based in France, Algeria and Czechia. Thierry Charnois's co-authors include Nadi Tomeh, Bruno Crémilleux, Peggy Cellier, Jǐŕı Kléma, Thierry Poibeau, Marc Plantevit, Christophe Rigotti, Davide Buscaldi, Patrice Boizumault and Yahia Lebbah 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 131 citations

Peers

Thierry Charnois
Comparison fields: 5 of 34
  • Artificial Intelligence 97
  • Information Systems 42
  • Molecular Biology 17
  • Computational Theory and Mathematics 17
  • Computer Networks and Communications 14
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Citations per field, relative to Thierry Charnois
Thierry Charnois · 1×
Citations per year, relative to Thierry Charnois
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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

20 of 20 papers shown
# Work Indexed citations
1 15
2 12
3 1
4 1
5 2
6 4
7 7
8 4
9 1
10 6
11 9
12 5
13
Interactions between Data Mining and Natural Language Processing
2
14
Symptom recognition issue
2
15 2
16 3
17
Combinaison d'approches pour l'extraction automatique d''ev'enements (Automatic events extraction by combining multiple approaches) [in French]
1
18
Fouille de données séquentielles d’itemsets pour l’apprentissage de patrons linguistiques
0
19 8
20
A Natural Language Processing Approach for Avoidance of Feature Interactions.
4

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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