Séverine Dubuisson
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Papers in
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- Video Surveillance and Tracking Methods 7
- Face and Expression Recognition 4
- Human Pose and Action Recognition 4
- Face recognition and analysis 3
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- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Kévin Bailly (3 shared papers)Arnaud Dapogny (3 shared papers)Catherine Achard (2 shared papers)Richard Kulpa (2 shared papers)David Cohen (3 shared papers)Jonathan Aigrain (2 shared papers)Michel Spodenkiewicz (2 shared papers)Mohamed Chétouani (2 shared papers)
In The Last Decade
Séverine Dubuisson
20 papers receiving 252 citations
Peers
Comparison fields: 5 of 86
- Experimental and Cognitive Psychology 82
- Computer Vision and Pattern Recognition 112
- Signal Processing 44
- Human-Computer Interaction 16
- Artificial Intelligence 58
Countries citing papers authored by Séverine Dubuisson
This map shows the geographic impact of Séverine Dubuisson'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 Séverine Dubuisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Dubuisson more than expected).
Fields of papers citing papers by Séverine Dubuisson
This network shows the impact of papers produced by Séverine Dubuisson. 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 Séverine Dubuisson. The network helps show where Séverine Dubuisson may publish in the future.
Co-authors
The 25 scholars most cited alongside Séverine Dubuisson, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 61 | |
| 2 | 2016 | 53 | |
| 3 | 2017 | 52 | |
| 4 | 2015 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2011 | 10 | |
| 7 | 2017 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | Latent Discriminant deterministic Uncertainty | 2022 | 1 |
| 20 | 2015 | 1 |
About Séverine Dubuisson
Séverine Dubuisson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Control and Systems Engineering and Biomedical Engineering, having authored 23 papers that have together received 258 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Face and Expression Recognition (4 papers), Emotion and Mood Recognition (4 papers), Human Pose and Action Recognition (4 papers), Gait Recognition and Analysis (3 papers), Adversarial Robustness in Machine Learning (3 papers), Face recognition and analysis (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (82 citations), Computer Vision and Pattern Recognition (112 citations), Signal Processing (44 citations), Human-Computer Interaction (16 citations) and Artificial Intelligence (58 citations). Séverine Dubuisson has collaborated with scholars based in France, Réunion and Poland. Frequent co-authors include Kévin Bailly, Arnaud Dapogny, Catherine Achard, Richard Kulpa, David Cohen, Jonathan Aigrain, Michel Spodenkiewicz, Mohamed Chétouani, Marcin Detyniecki and Christophe Gonzales. Their work appears in journals such as Image and Vision Computing, Signal Processing Image Communication, Journal of Investigative Dermatology, Machine Vision and Applications and IEEE Access.
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.