Vincent Claveau
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Information Systems
- Sociology and Political Science
- Co-authors
- Pierre TirillyPatrick GrosPascale SébillotNatalia GrabarSébastien LefèvrePierrette BouillonAurélie NévéolSonya E. Shooshan
- Topics
- Natural Language Processing Techniques (26 papers)Topic Modeling (24 papers)Biomedical Text Mining and Ontologies (9 papers)
- Partner nations
- FranceCzechiaSwitzerland
In The Last Decade
Vincent Claveau
37 papers receiving 170 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 119
- Computer Vision and Pattern Recognition 51
- Molecular Biology 32
- Information Systems 15
- Sociology and Political Science 14
Countries citing papers authored by Vincent Claveau
This map shows the geographic impact of Vincent Claveau'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 Vincent Claveau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Claveau more than expected).
Fields of papers citing papers by Vincent Claveau
This network shows the impact of papers produced by Vincent Claveau. 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 Vincent Claveau. The network helps show where Vincent Claveau may publish in the future.
Co-authorship network of co-authors of Vincent Claveau
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Claveau. A scholar is included among the top collaborators of Vincent Claveau 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 Vincent Claveau. Vincent Claveau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | News image annotation on a large parallel text-image corpus | 5 |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Inférence de règles de propagation syntaxique pour l'alignement de mots | 2 |
| 17 | 2 | |
| 18 | Extension de requêtes par lien sémantique nom-verbe acquis sur corpus | 3 |
| 19 | Learning semantic lexicons from a part-of-speech and semantically tagged corpus using inductive logic programming | 9 |
| 20 | 11 |
About Vincent Claveau
Vincent Claveau is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 39 papers that have together received 185 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Biomedical Text Mining and Ontologies (9 papers). The work is most often cited by research in Medical Terminology (1 citation), Artificial Intelligence (119 citations) and Computer Vision and Pattern Recognition (51 citations). Vincent Claveau has collaborated with scholars based in France, Czechia and Switzerland. Frequent co-authors include Pierre Tirilly, Patrick Gros, Pascale Sébillot, Natalia Grabar, Sébastien Lefèvre, Pierrette Bouillon, Aurélie Névéol, Sonya E. Shooshan, Guillaume Gravier and Déborah Ribeiro Carvalho. Their work appears in journals such as ACM Computing Surveys, BMC Bioinformatics and American Journal of Ophthalmology.
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.