Jean–Pierre Chevallet

24 papers receiving 138 citations

Peers

Jean–Pierre Chevallet
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 112
  • Artificial Intelligence 59
  • Molecular Biology 26
  • Information Systems 14
  • Aerospace Engineering 14
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Countries citing papers authored by Jean–Pierre Chevallet

Since Specialization
Citations

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

Fields of papers citing papers by Jean–Pierre Chevallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean–Pierre Chevallet. 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–Pierre Chevallet. The network helps show where Jean–Pierre Chevallet may publish in the future.

Co-authorship network of co-authors of Jean–Pierre Chevallet

This figure shows the co-authorship network connecting the top 25 collaborators of Jean–Pierre Chevallet. A scholar is included among the top collaborators of Jean–Pierre Chevallet 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–Pierre Chevallet. Jean–Pierre Chevallet 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
#WorkIndexed citations
1 10
2 4
3 2
4 1
5
MRIM-LIG at ImageCLEF 2009: Photo Retrieval and Photo Annotation Tasks.
4
6 6
7 3
8 5
9 33
10 2
11 10
12 1
13
A Structured Learning Approach for Medical Image Indexing and Retrieval
2
14
Using Ontology Dimensions and Negative Expansion to solve Precise Queries in the ImageCLEF Medical Task.
7
15
Une Indexation Conceptuelle pour un Filtrage par Dimensions Expérimentation sur la base médicale ImageCLEFmed avec le méta thésaurus UMLS
2
16 5
17 1
18
X-IOTA: An Open XML Framework for IR Experimentation Application on Multiple Weighting Scheme Tests in a Bilingual Corpus
6
19
Simple Translations of Monolingual Queries Expanded Through an Association Thesaurus: X-IOTA IR System Used for CLIPS Bilingual Experiments.
1
20
Between Terms and Words for European Language IR and Between Words and Bigrams for Chinese IR.
6

About Jean–Pierre Chevallet

Jean–Pierre Chevallet is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 26 papers that have together received 155 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (112 citations), Artificial Intelligence (59 citations) and Human-Computer Interaction (7 citations). Jean–Pierre Chevallet has collaborated with scholars based in Singapore, France and Vietnam. Frequent co-authors include Joo‐Hwee Lim, Caroline Lacoste, Yiqun Li, Catherine Berrut, Gabriella Pasi, Jian‐Yun Nie, Georges Quénot, Philippe Mulhem, Laurence Nigay and Céline Coutrix. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Circuits and Systems for Video Technology and Information Processing & Management.

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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