Clément Chatelain
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Handwritten Text Recognition Techniques 41
- Advanced Neural Network Applications 4
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- Hand Gesture Recognition Systems 3
- Co-authors
- Thierry Paquet (47 shared papers)Sébastien Adam (16 shared papers)Laurent Heutte (14 shared papers)Christopher Kermorvant (2 shared papers)Romain Hérault (8 shared papers)Romain Modzelewski (5 shared papers)Soufiane Belharbi (3 shared papers)Y. Lecourtier (3 shared papers)
In The Last Decade
Clément Chatelain
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 711
- Human-Computer Interaction 28
- Health Informatics 9
- Artificial Intelligence 72
- Radiology, Nuclear Medicine and Imaging 35
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 106 | |
| 2 | 2013 | 86 | |
| 3 | 2018 | 78 | |
| 4 | 2023 | 67 | |
| 5 | 2017 | 50 | |
| 6 | 2017 | 50 | |
| 7 | 2019 | 36 | |
| 8 | 2009 | 34 | |
| 9 | 2019 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2015 | 28 | |
| 12 | 2015 | 28 | |
| 13 | 2021 | 25 | |
| 14 | 2024 | 24 | |
| 15 | 2014 | 23 | |
| 16 | 2020 | 23 | |
| 17 | 2014 | 21 | |
| 18 | 2007 | 20 | |
| 19 | 2019 | 20 | |
| 20 | 2010 | 17 |
About Clément Chatelain
Clément Chatelain is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Automotive Engineering, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (41 papers), Advanced Neural Network Applications (4 papers), Hand Gesture Recognition Systems (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Imbalanced Data Classification Techniques (1 paper), Medical Imaging and Analysis (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (711 citations), Human-Computer Interaction (28 citations), Health Informatics (9 citations), Artificial Intelligence (72 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Clément Chatelain has collaborated with scholars based in France, India and Canada. Frequent co-authors include Thierry Paquet, Sébastien Adam, Laurent Heutte, Christopher Kermorvant, Romain Hérault, Romain Modzelewski, Soufiane Belharbi, Y. Lecourtier, Simon Bernard and Gilles Gasso. Their work appears in journals such as IEEE Access, Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR), IEEE Transactions on Pattern Analysis and Machine Intelligence 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.