Thibaud Sénéchal
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Emotion and Mood Recognition 6
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- Speech and Audio Processing 4
- Music and Audio Processing 3
- Co-authors
- Rana el Kaliouby (5 shared papers)Daniel McDuff (4 shared papers)Rosalind W. Picard (2 shared papers)Jeffrey F. Cohn (1 shared paper)Lionel Prévost (3 shared papers)Kévin Bailly (3 shared papers)Hanan Salam (1 shared paper)Renaud Séguier (1 shared paper)
- Journals
- Image and Vision Computing (2 papers)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (1 paper)Pattern Analysis and Applications (1 paper)OpenBU (Boston University) (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- United StatesGuadeloupeFrance
In The Last Decade
Thibaud Sénéchal
11 papers receiving 354 citations
Peers
Comparison fields: 5 of 60
- Experimental and Cognitive Psychology 261
- Computer Vision and Pattern Recognition 198
- Human-Computer Interaction 34
- Signal Processing 48
- Cognitive Neuroscience 80
Countries citing papers authored by Thibaud Sénéchal
This map shows the geographic impact of Thibaud Sénéchal'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 Thibaud Sénéchal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thibaud Sénéchal more than expected).
Fields of papers citing papers by Thibaud Sénéchal
This network shows the impact of papers produced by Thibaud Sénéchal. 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 Thibaud Sénéchal. The network helps show where Thibaud Sénéchal may publish in the future.
Co-authors
The 18 scholars most cited alongside Thibaud Sénéchal, 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 | 2013 | 159 | |
| 2 | 2012 | 89 | |
| 3 | 2015 | 44 | |
| 4 | 2014 | 37 | |
| 5 | 2013 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2012 | 15 | |
| 8 | 2020 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2013 | 2 | |
| 11 | 2022 | 2 |
About Thibaud Sénéchal
Thibaud Sénéchal is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Computer Vision and Pattern Recognition, Social Psychology and Cognitive Neuroscience, having authored 11 papers that have together received 388 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Face and Expression Recognition (5 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers), Color perception and design (2 papers), Face recognition and analysis (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Face Recognition and Perception (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (261 citations), Computer Vision and Pattern Recognition (198 citations), Human-Computer Interaction (34 citations), Signal Processing (48 citations) and Cognitive Neuroscience (80 citations). Thibaud Sénéchal has collaborated with scholars based in United States, Guadeloupe and France. Frequent co-authors include Rana el Kaliouby, Daniel McDuff, Rosalind W. Picard, Jeffrey F. Cohn, Lionel Prévost, Kévin Bailly, Hanan Salam, Renaud Séguier, David Demirdjian and Evan Kodra. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Pattern Analysis and Applications, OpenBU (Boston University) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.