Jean–Pierre Chevallet

970 total citations
26 papers, 155 citations indexed

About

Jean–Pierre Chevallet is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jean–Pierre Chevallet has authored 26 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Jean–Pierre Chevallet's work include Semantic Web and Ontologies (13 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Jean–Pierre Chevallet is often cited by papers focused on Semantic Web and Ontologies (13 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Jean–Pierre Chevallet collaborates with scholars based in France, Singapore and Vietnam. Jean–Pierre Chevallet's co-authors include Joo‐Hwee Lim, Yiqun Li, Caroline Lacoste, Catherine Berrut, Gabriella Pasi, Laurence Nigay, Jian‐Yun Nie, Georges Quénot, Philippe Mulhem and Céline Coutrix and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Circuits and Systems for Video Technology and Information Processing & Management.

In The Last Decade

Jean–Pierre Chevallet

24 papers receiving 138 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean–Pierre Chevallet France 7 112 59 26 14 14 26 155
Xiaobo Ren China 6 53 0.5× 70 1.2× 4 0.2× 30 2.1× 9 0.6× 18 135
Prashant Srivastava India 9 173 1.5× 45 0.8× 18 0.7× 22 1.6× 6 0.4× 15 248
Stanislau Semeniuta Italy 6 84 0.8× 104 1.8× 19 0.7× 12 0.9× 4 0.3× 7 189
Valentin Khrulkov Russia 5 76 0.7× 95 1.6× 18 0.7× 5 0.4× 3 0.2× 9 150
Jiangtong Li China 10 160 1.4× 165 2.8× 8 0.3× 12 0.9× 3 0.2× 16 266
John P. Eakins United Kingdom 9 349 3.1× 49 0.8× 24 0.9× 9 0.6× 8 0.6× 18 382
Satoshi Tsutsui United States 7 122 1.1× 98 1.7× 28 1.1× 5 0.4× 4 0.3× 18 186
Duzhen Zhang China 7 123 1.1× 149 2.5× 6 0.2× 11 0.8× 3 0.2× 17 227
Stefan Romberg Germany 8 321 2.9× 83 1.4× 6 0.2× 13 0.9× 28 2.0× 13 352
Ladislav Lenc Czechia 7 122 1.1× 121 2.1× 11 0.4× 11 0.8× 4 0.3× 27 226

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
1.
Berrut, Catherine, et al.. (2019). Modeling Information Retrieval by Formal Logic. ACM Computing Surveys. 52(1). 1–37. 10 indexed citations
2.
Chevallet, Jean–Pierre, et al.. (2018). Object instance identification with fully convolutional networks. Multimedia Tools and Applications. 78(3). 2747–2764. 4 indexed citations
3.
Chevallet, Jean–Pierre, et al.. (2013). Is uncertain logical-matching equivalent to conditional probability?. 825–828. 2 indexed citations
4.
Chevallet, Jean–Pierre, et al.. (2012). Enhancing semantic relation quality of UMLS knowledge sources. 59–66. 1 indexed citations
5.
Mulhem, Philippe, Jean–Pierre Chevallet, Georges Quénot, & Rami Albatal. (2009). MRIM-LIG at ImageCLEF 2009: Photo Retrieval and Photo Annotation Tasks.. CLEF (Working Notes). 4 indexed citations
6.
Chevallet, Jean–Pierre, et al.. (2008). Unsupervised learning for image classification based on distribution of hierarchical feature tree. 306–310. 6 indexed citations
7.
Chin, Tat-Jun, et al.. (2008). Mobile phone-based mixed reality: the Snap2Play game. The Visual Computer. 25(1). 25–37. 3 indexed citations
8.
Chevallet, Jean–Pierre, et al.. (2007). Domain knowledge conceptual inter-media indexing. 495–504. 2 indexed citations
10.
Lim, Joo‐Hwee, et al.. (2007). Scene Recognition with Camera Phones for Tourist Information Access. 100–103. 33 indexed citations
11.
Chevallet, Jean–Pierre, et al.. (2006). Object identification and retrieval from efficient image matching. Snap2Tell with the STOIC dataset. Information Processing & Management. 43(2). 515–530. 10 indexed citations
12.
Chevallet, Jean–Pierre, et al.. (2006). A structured indexing model based on noun phrases. 2. 81–89. 1 indexed citations
13.
Chevallet, Jean–Pierre, et al.. (2005). Using Ontology Dimensions and Negative Expansion to solve Precise Queries in the ImageCLEF Medical Task.. CLEF (Working Notes). 7 indexed citations
14.
Lim, Joo‐Hwee & Jean–Pierre Chevallet. (2005). A Structured Learning Approach for Medical Image Indexing and Retrieval. CLEF (Working Notes). 2 indexed citations
15.
Lim, Joo‐Hwee, et al.. (2005). Une Indexation Conceptuelle pour un Filtrage par Dimensions Expérimentation sur la base médicale ImageCLEFmed avec le méta thésaurus UMLS. 2 indexed citations
16.
Xiong, Wei, Bo Qiu, Qi Tian, et al.. (2005). MultiPRE. National University of Singapore. 1023–1032. 5 indexed citations
17.
Chevallet, Jean–Pierre, et al.. (2005). Harnessing Location-Context for Content-based Services in Vehicular Systems. 5. 2874–2878. 1 indexed citations
18.
Chevallet, Jean–Pierre. (2004). X-IOTA: An Open XML Framework for IR Experimentation Application on Multiple Weighting Scheme Tests in a Bilingual Corpus. 6 indexed citations
19.
Sérasset, Gilles & Jean–Pierre Chevallet. (2003). Simple Translations of Monolingual Queries Expanded Through an Association Thesaurus: X-IOTA IR System Used for CLIPS Bilingual Experiments.. 242–252. 1 indexed citations
20.
Nie, Jian‐Yun, et al.. (1997). Between Terms and Words for European Language IR and Between Words and Bigrams for Chinese IR.. Text REtrieval Conference. 697–709. 6 indexed citations

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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