Clément Chatelain
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
Papers in
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- Handwritten Text Recognition Techniques 15
- Image Processing and 3D Reconstruction 3
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- Natural Language Processing Techniques 6
- Text and Document Classification Technologies 3
- Machine Learning and Data Classification 3
- Imbalanced Data Classification Techniques 3
- Co-authors
- Thierry Paquet (15 shared papers)Martine Ben Amar (5 shared papers)Sébastien Adam (8 shared papers)Pasquale Ciarletta (3 shared papers)Christopher Kermorvant (2 shared papers)Romain Hérault (5 shared papers)Romain Modzelewski (3 shared papers)Laurent Heutte (5 shared papers)
In The Last Decade
Clément Chatelain
36 papers receiving 566 citations
Peers
Comparison fields: 5 of 113
- Modeling and Simulation 75
- Computer Vision and Pattern Recognition 217
- Media Technology 53
- Human-Computer Interaction 28
- Cell Biology 75
Countries citing papers authored by Clément Chatelain
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
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.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2011 | 49 | |
| 3 | 2011 | 47 | |
| 4 | 2017 | 39 | |
| 5 | 2017 | 37 | |
| 6 | 2008 | 33 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 27 | |
| 10 | 2023 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2015 | 20 | |
| 15 | 2007 | 16 | |
| 16 | 2014 | 14 | |
| 17 | 2024 | 11 | |
| 18 | 2020 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2020 | 9 |
About Clément Chatelain
Clément Chatelain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cell Biology, Biomedical Engineering and Modeling and Simulation, having authored 36 papers that have together received 589 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (6 papers), Cellular Mechanics and Interactions (5 papers), Mathematical Biology Tumor Growth (4 papers), Image Processing and 3D Reconstruction (3 papers), Text and Document Classification Technologies (3 papers), Machine Learning and Data Classification (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Computer Vision and Pattern Recognition (217 citations), Media Technology (53 citations), Human-Computer Interaction (28 citations) and Cell Biology (75 citations). Clément Chatelain has collaborated with scholars based in France, Israel and Canada. Frequent co-authors include Thierry Paquet, Martine Ben Amar, Sébastien Adam, Pasquale Ciarletta, Christopher Kermorvant, Romain Hérault, Romain Modzelewski, Laurent Heutte, Yacov Kantor and Mehran Kardar. Their work appears in journals such as IEEE Access, Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR), IEEE Transactions on Radiation and Plasma Medical Sciences and Image and Vision Computing.
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.