Florian Chabot
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Optical measurement and interference techniques
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- Hand Gesture Recognition Systems
Papers in
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- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 1
- Optical measurement and interference techniques 1
- Co-authors
- Quoc Cuong Pham (1 shared paper)Catherine Achard (1 shared paper)Hichem Sahbi (2 shared papers)Romaric Audigier (1 shared paper)Thierry Château (1 shared paper)Hervé Le Borgne (1 shared paper)Mohamed Chaouch (1 shared paper)Jaonary Rabarisoa (1 shared paper)
- Journals
- 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2 papers)HAL (Le Centre pour la Communication Scientifique Directe) (4 papers)
In The Last Decade
Florian Chabot
8 papers receiving 70 citations
Peers
Comparison fields: 5 of 21
- Computer Vision and Pattern Recognition 64
- Human-Computer Interaction 8
- Media Technology 7
- Artificial Intelligence 17
- Endocrinology, Diabetes and Metabolism 6
Countries citing papers authored by Florian Chabot
This map shows the geographic impact of Florian Chabot'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 Florian Chabot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Chabot more than expected).
Fields of papers citing papers by Florian Chabot
This network shows the impact of papers produced by Florian Chabot. 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 Florian Chabot. The network helps show where Florian Chabot may publish in the future.
Co-authors
The 10 scholars most cited alongside Florian Chabot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2016 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 0 |
About Florian Chabot
Florian Chabot is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 73 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Processing Techniques and Applications (2 papers), Multimodal Machine Learning Applications (1 paper), Robotics and Sensor-Based Localization (1 paper) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (64 citations), Human-Computer Interaction (8 citations), Media Technology (7 citations), Artificial Intelligence (17 citations) and Endocrinology, Diabetes and Metabolism (6 citations). Florian Chabot has collaborated with scholars based in France and Algeria. Frequent co-authors include Quoc Cuong Pham, Catherine Achard, Hichem Sahbi, Romaric Audigier, Thierry Château, Hervé Le Borgne, Mohamed Chaouch, Jaonary Rabarisoa, Nicolas Granger and Céline Teulière. Their work appears in journals such as 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and HAL (Le Centre pour la Communication Scientifique Directe).
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.