Clément Chatelain

1.5k citations
45 papers · 789 · h-index 17

Impact in

Papers in

Clément Chatelain

45 papers receiving 757 citations

Peers

Clément Chatelain
Comparison fields: 5 of 116
  • Modeling and Simulation 82
  • Computer Vision and Pattern Recognition 346
  • Media Technology 82
  • Human-Computer Interaction 44
  • Artificial Intelligence 228
Replace Jae-Woo Kim with:
Jae-Woo Kim South Korea
Lia Morra Italy
Nicholas S. Flann United States
Li Xiao China
Le Li China
Jonathan Warrell United Kingdom
Hieu Trung Huynh Vietnam
Minghu Jiang China
Clément Chatelain relative to Jae-Woo Kim South Korea Jae-Woo Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Clément Chatelain

Since Specialization
Citations

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

Fields of papers citing papers by Clément Chatelain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clément Chatelain. 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 Clément Chatelain. The network helps show where Clément Chatelain may publish in the future.

Co-authors

The 25 scholars most cited alongside Clément Chatelain, 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 Clément Chatelain Line = papers co-authored together Clément Chatelain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 202356
3 201152
4 201150
5 201745
6 201745
7 200837
8 201936
9 200933
10 201729
11 201929
12 201527
13 201527
14 201126
15 200720
16 202120
17 201417
18 202416
19 202216
20 202414

About Clément Chatelain

Clément Chatelain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cell Biology and Media Technology, having authored 45 papers that have together received 789 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (21 papers), Natural Language Processing Techniques (11 papers), Image Processing and 3D Reconstruction (5 papers), Cellular Mechanics and Interactions (5 papers), Hand Gesture Recognition Systems (4 papers), Mathematical Biology Tumor Growth (4 papers), Text and Document Classification Technologies (4 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Modeling and Simulation (82 citations), Computer Vision and Pattern Recognition (346 citations), Media Technology (82 citations), Human-Computer Interaction (44 citations) and Artificial Intelligence (228 citations). Clément Chatelain has collaborated with scholars based in France, Israel and Canada. Frequent co-authors include Thierry Paquet, Sébastien Adam, Martine Ben Amar, Pasquale Ciarletta, Christopher Kermorvant, Laurent Heutte, Romain Modzelewski, Romain Hérault, Yacov Kantor and Mehran Kardar. Their work appears in journals such as IEEE Access, Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters and Physical Review Letters.

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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