Kévin Bailly

1.3k total citations
32 papers, 546 citations indexed

About

Kévin Bailly is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Kévin Bailly has authored 32 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Experimental and Cognitive Psychology and 9 papers in Cognitive Neuroscience. Recurrent topics in Kévin Bailly's work include Face recognition and analysis (14 papers), Face and Expression Recognition (14 papers) and Emotion and Mood Recognition (10 papers). Kévin Bailly is often cited by papers focused on Face recognition and analysis (14 papers), Face and Expression Recognition (14 papers) and Emotion and Mood Recognition (10 papers). Kévin Bailly collaborates with scholars based in France, Guadeloupe and Jamaica. Kévin Bailly's co-authors include Arnaud Dapogny, David Cohen, Sylvie Serret, Charline Grossard, Thibaud Sénéchal, Anne-Lise Jouen, Séverine Dubuisson, Lionel Prévost, Renaud Séguier and Hanan Salam and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & Education and Pattern Recognition.

In The Last Decade

Kévin Bailly

30 papers receiving 528 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kévin Bailly France 12 218 191 190 90 65 32 546
Terri L. Bonebright United States 12 127 0.6× 291 1.5× 171 0.9× 49 0.5× 56 0.9× 24 596
Chek Tien Tan Australia 15 118 0.5× 127 0.7× 108 0.6× 72 0.8× 192 3.0× 57 638
Manfred Nusseck Germany 15 123 0.6× 296 1.5× 177 0.9× 18 0.2× 48 0.7× 42 693
Giovanna Varni Italy 12 134 0.6× 187 1.0× 123 0.6× 22 0.2× 33 0.5× 51 506
Shkurta Gashi Switzerland 10 67 0.3× 155 0.8× 119 0.6× 26 0.3× 41 0.6× 20 377
Yulong Bian China 12 109 0.5× 106 0.6× 66 0.3× 62 0.7× 124 1.9× 58 533
Agnieszka Landowska Poland 12 42 0.2× 133 0.7× 170 0.9× 30 0.3× 32 0.5× 39 350
Cyril Rebetez Switzerland 6 40 0.2× 251 1.3× 265 1.4× 41 0.5× 158 2.4× 10 517
Zhefan Ye United States 6 266 1.2× 132 0.7× 36 0.2× 48 0.5× 19 0.3× 10 476
Simon McCallum New Zealand 11 96 0.4× 83 0.4× 81 0.4× 44 0.5× 142 2.2× 26 559

Countries citing papers authored by Kévin Bailly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kévin Bailly

This figure shows the co-authorship network connecting the top 25 collaborators of Kévin Bailly. A scholar is included among the top collaborators of Kévin Bailly 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 Kévin Bailly. Kévin Bailly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dapogny, Arnaud, et al.. (2024). PIPE: Parallelized inference through ensembling of residual quantization expansions. Pattern Recognition. 154. 110571–110571. 1 indexed citations
2.
Dapogny, Arnaud, et al.. (2022). RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3664–3676. 9 indexed citations
3.
Dhombres, Ferdinand, et al.. (2022). Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review. Journal of Medical Internet Research. 24(4). e35465–e35465. 46 indexed citations
4.
Dapogny, Arnaud, et al.. (2022). Multi-Order Networks for Action Unit Detection. IEEE Transactions on Affective Computing. 14(4). 2876–2888. 8 indexed citations
5.
Dapogny, Arnaud, et al.. (2022). THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild. IEEE Transactions on Affective Computing. 14(3). 2336–2348. 23 indexed citations
6.
Dapogny, Arnaud, et al.. (2022). Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. 2022 26th International Conference on Pattern Recognition (ICPR). 1055–1061. 5 indexed citations
7.
Grossard, Charline, Arnaud Dapogny, David Cohen, et al.. (2020). Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions: an experimental study using random forest classifiers. Molecular Autism. 11(1). 5–5. 25 indexed citations
8.
Bailly, Kévin, et al.. (2020). Guiding the Training of Users With a Pattern Similarity Biofeedback to Improve the Performance of Myoelectric Pattern Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(8). 1731–1741. 10 indexed citations
9.
Ouss, Lisa, Giuseppe Palestra, Catherine Saint‐Georges, et al.. (2020). Behavior and interaction imaging at 9 months of age predict autism/intellectual disability in high-risk infants with West syndrome. Translational Psychiatry. 10(1). 54–54. 11 indexed citations
10.
Grossard, Charline, Stéphanie Hun, Arnaud Dapogny, et al.. (2019). Teaching Facial Expression Production in Autism: The Serious Game JEMImE. Creative Education. 10(11). 2347–2366. 15 indexed citations
11.
Ouss, Lisa, Marie‐Thérèse Le Normand, Kévin Bailly, et al.. (2018). Developmental Trajectories of Hand Movements in Typical Infants and Those at Risk of Developmental Disorders: An Observational Study of Kinematics during the First Year of Life. Frontiers in Psychology. 9. 83–83. 8 indexed citations
12.
Grossard, Charline, Laurence Chaby, Stéphanie Hun, et al.. (2018). Children Facial Expression Production: Influence of Age, Gender, Emotion Subtype, Elicitation Condition and Culture. Frontiers in Psychology. 9. 446–446. 28 indexed citations
13.
Dapogny, Arnaud & Kévin Bailly. (2018). Investigating Deep Neural Forests for Facial Expression Recognition. 629–633. 9 indexed citations
14.
Grossard, Charline, Stéphanie Hun, Sylvie Serret, et al.. (2017). Rééducation de l’expression émotionnelle chez l’enfant avec trouble du spectre autistique grâce aux supports numériques : le projet JEMImE. Neuropsychiatrie de l Enfance et de l Adolescence. 65(1). 21–32. 7 indexed citations
15.
Dapogny, Arnaud, Kévin Bailly, & Séverine Dubuisson. (2016). Confidence-Weighted Local Expression Predictions for Occlusion Handling\n in Expression Recognition and Action Unit detection. arXiv (Cornell University). 53 indexed citations
16.
Bailly, Kévin, et al.. (2016). Real-time facial action unit intensity prediction with regularized metric learning. Image and Vision Computing. 52. 1–14. 12 indexed citations
17.
Bailly, Kévin, et al.. (2013). Multi-Kernel Appearance Model. Image and Vision Computing. 31(8). 542–554. 2 indexed citations
18.
Sénéchal, Thibaud, et al.. (2012). Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(4). 993–1005. 89 indexed citations
19.
Bailly, Kévin & Maurice Milgram. (2009). Boosting feature selection for Neural Network based regression. Neural Networks. 22(5-6). 748–756. 16 indexed citations
20.
Bailly, Kévin & Maurice Milgram. (2009). Head pan angle estimation by a nonlinear regression on selected features. 99. 3589–3592. 1 indexed citations

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.

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