Vincent Claveau

748 citations
39 papers · 185 · h-index 9

Impact in

Papers in

    • Natural Language Processing Techniques 26
    • Topic Modeling 24
    • Semantic Web and Ontologies 7
    • Text Readability and Simplification 4
    • Biomedical Text Mining and Ontologies 9

Vincent Claveau

37 papers receiving 170 citations

Peers

Vincent Claveau
Comparison fields: 5 of 52
  • Medical Terminology 1
  • Artificial Intelligence 119
  • Computer Vision and Pattern Recognition 51
  • Signal Processing 10
  • Health Information Management 4
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Laith H. Baniata South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Vincent Claveau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Vincent Claveau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Claveau Line = papers co-authored together Vincent Claveau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202123
2 201019
3 200813
4 202013
5 200211
6 201410
7 202110
8
Learning semantic lexicons from a part-of-speech and semantically tagged corpus using inductive logic programming
20039
9
A review of weighting schemes for bag of visual words image retrieval
20099
10 20207
11 20217
12
News image annotation on a large parallel text-image corpus
20105
13 20104
14 20064
15
Discovering Specific Semantic Relationships between Nouns and Verbs in a Specialized French Corpus
20044
16 20203
17 20093
18 20153
19
Extension de requêtes par lien sémantique nom-verbe acquis sur corpus
20043
20
Inférence de règles de propagation syntaxique pour l'alignement de mots
20062

About Vincent Claveau

Vincent Claveau is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing 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), Biomedical Text Mining and Ontologies (9 papers), Semantic Web and Ontologies (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (5 papers), Image Retrieval and Classification Techniques (5 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Medical Terminology (1 citation), Artificial Intelligence (119 citations), Computer Vision and Pattern Recognition (51 citations), Signal Processing (10 citations) and Health Information Management (4 citations). Vincent Claveau has collaborated with scholars based in France, Czechia and Switzerland. Frequent co-authors include Patrick Gros, Pierre Tirilly, Natalia Grabar, Pascale Sébillot, Pierrette Bouillon, Sonya E. Shooshan, Aurélie Névéol, Guillaume Gravier, Sébastien Lefèvre and Marie-Claude L’Homme. Their work appears in journals such as Journal of Multimedia, Natural Language Engineering, BMC Bioinformatics, Language Resources and Evaluation and Journal of Biomedical Semantics.

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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