Thibaud Sénéchal
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Social Psychology
- Artificial Intelligence
- Co-authors
- Rana el KalioubyDaniel McDuffRosalind W. PicardJeffrey F. CohnKévin BaillyLionel PrévostHanan SalamRenaud Séguier
- Topics
- Emotion and Mood Recognition (6 papers)Face and Expression Recognition (5 papers)Speech and Audio Processing (4 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)Image and Vision ComputingPattern Analysis and Applications
- Partner nations
- United StatesGuadeloupeFrance
In The Last Decade
Thibaud Sénéchal
11 papers receiving 348 citations
Peers
Comparison fields: 5 of 62
- Experimental and Cognitive Psychology 260
- Computer Vision and Pattern Recognition 197
- Cognitive Neuroscience 82
- Social Psychology 74
- Artificial Intelligence 59
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-authorship network of co-authors of Thibaud Sénéchal
This figure shows the co-authorship network connecting the top 25 collaborators of Thibaud Sénéchal. A scholar is included among the top collaborators of Thibaud Sénéchal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thibaud Sénéchal. Thibaud Sénéchal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 44 | |
| 5 | 37 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 157 | |
| 9 | 17 | |
| 10 | 89 | |
| 11 | 15 |
About Thibaud Sénéchal
Thibaud Sénéchal is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 11 papers that have together received 385 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Face and Expression Recognition (5 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (260 citations), Computer Vision and Pattern Recognition (197 citations) and Human-Computer Interaction (35 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, Kévin Bailly, Lionel Prévost, Hanan Salam, Renaud Séguier, David Demirdjian and Evan Kodra. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Image and Vision Computing and Pattern Analysis and Applications.
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.