Kévin Bailly
Impact in
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- Emotion and Mood Recognition
- Health Informatics top 10%
Papers in
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- Face and Expression Recognition 14
- Face recognition and analysis 14
- Advanced Neural Network Applications 3
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- Emotion and Mood Recognition 10
- Co-authors
- Arnaud Dapogny (18 shared papers)David Cohen (7 shared papers)Sylvie Serret (6 shared papers)Charline Grossard (6 shared papers)Anne-Lise Jouen (1 shared paper)Lionel Prévost (3 shared papers)Thibaud Sénéchal (3 shared papers)Séverine Dubuisson (3 shared papers)
- Journals
- Image and Vision Computing (2 papers)Frontiers in Psychology (2 papers)IEEE Transactions on Affective Computing (2 papers)Journal of Medical Internet Research (1 paper)Neural Networks (1 paper)
- Partner nations
- FranceGuadeloupeJamaica
In The Last Decade
Kévin Bailly
30 papers receiving 547 citations
Peers
Comparison fields: 5 of 83
- Experimental and Cognitive Psychology 191
- Health Informatics 16
- Computer Vision and Pattern Recognition 220
- Cognitive Neuroscience 190
- Occupational Therapy 26
Countries citing papers authored by Kévin Bailly
This map shows the geographic impact of Kévin Bailly'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 Kévin Bailly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kévin Bailly more than expected).
Fields of papers citing papers by Kévin Bailly
This network shows the impact of papers produced by Kévin Bailly. 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 Kévin Bailly. The network helps show where Kévin Bailly may publish in the future.
Co-authors
The 25 scholars most cited alongside Kévin Bailly, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 127 | |
| 2 | 2012 | 89 | |
| 3 | 2016 | 53 | |
| 4 | 2022 | 49 | |
| 5 | 2020 | 27 | |
| 6 | 2018 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2009 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2012 | 15 | |
| 11 | 2020 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2022 | 5 |
About Kévin Bailly
Kévin Bailly is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Cognitive Neuroscience, Artificial Intelligence and Education, having authored 32 papers that have together received 564 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Face recognition and analysis (14 papers), Emotion and Mood Recognition (10 papers), Autism Spectrum Disorder Research (8 papers), Adversarial Robustness in Machine Learning (4 papers), Child Development and Digital Technology (4 papers), Advanced Neural Network Applications (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (191 citations), Health Informatics (16 citations), Computer Vision and Pattern Recognition (220 citations), Cognitive Neuroscience (190 citations) and Occupational Therapy (26 citations). Kévin Bailly has collaborated with scholars based in France, Guadeloupe and Jamaica. Frequent co-authors include Arnaud Dapogny, David Cohen, Sylvie Serret, Charline Grossard, Anne-Lise Jouen, Lionel Prévost, Thibaud Sénéchal, Séverine Dubuisson, Renaud Séguier and Hanan Salam. Their work appears in journals such as Image and Vision Computing, Frontiers in Psychology, IEEE Transactions on Affective Computing, Journal of Medical Internet Research and Neural Networks.
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.