Raphaël Féraud

799 total citations
22 papers, 298 citations indexed

About

Raphaël Féraud is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raphaël Féraud has authored 22 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raphaël Féraud's work include Advanced Bandit Algorithms Research (13 papers), Reinforcement Learning in Robotics (7 papers) and Machine Learning and Algorithms (5 papers). Raphaël Féraud is often cited by papers focused on Advanced Bandit Algorithms Research (13 papers), Reinforcement Learning in Robotics (7 papers) and Machine Learning and Algorithms (5 papers). Raphaël Féraud collaborates with scholars based in France, United States and Canada. Raphaël Féraud's co-authors include Fabrice Clérot, Djallel Bouneffouf, Olivier Bernier, Michel Collobert, J.E. Viallet, Odalric-Ambrym Maillard, Tanguy Urvoy, Vincent Lemaire, Y. Mahieux and Yasaman Khazaeni and has published in prestigious journals such as Neurocomputing, Neural Networks and Machine Learning.

In The Last Decade

Raphaël Féraud

18 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaël Féraud France 9 140 91 82 50 30 22 298
Sriyankar Acharyya India 11 114 0.8× 52 0.6× 53 0.6× 40 0.8× 51 1.7× 38 305
Duzhong Zhang China 10 83 0.6× 28 0.3× 162 2.0× 75 1.5× 58 1.9× 25 324
Diane Donovan Australia 12 112 0.8× 45 0.5× 58 0.7× 271 5.4× 32 1.1× 88 449
Claus Aranha Japan 10 174 1.2× 102 1.1× 28 0.3× 29 0.6× 17 0.6× 37 337
Trong Nghia Hoang United States 11 259 1.9× 37 0.4× 45 0.5× 19 0.4× 39 1.3× 27 329
Jiacheng Zhang China 13 227 1.6× 18 0.2× 114 1.4× 71 1.4× 114 3.8× 21 454
Yong-Feng Ge China 10 230 1.6× 19 0.2× 34 0.4× 19 0.4× 41 1.4× 29 338
Liyao Xiang China 10 125 0.9× 21 0.2× 47 0.6× 70 1.4× 105 3.5× 41 281

Countries citing papers authored by Raphaël Féraud

Since Specialization
Citations

This map shows the geographic impact of Raphaël Féraud'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 Raphaël Féraud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Féraud more than expected).

Fields of papers citing papers by Raphaël Féraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaël Féraud. 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 Raphaël Féraud. The network helps show where Raphaël Féraud may publish in the future.

Co-authorship network of co-authors of Raphaël Féraud

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Féraud. A scholar is included among the top collaborators of Raphaël Féraud 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 Raphaël Féraud. Raphaël Féraud 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.
Féraud, Raphaël, et al.. (2023). Decentralized smart charging of large-scale EVS using adaptive multi-agent multi-armed bandits. IET conference proceedings.. 2023(6). 1130–1134. 1 indexed citations
2.
Bouneffouf, Djallel, et al.. (2023). Question Answering System with Sparse and Noisy Feedback. 1–5. 1 indexed citations
3.
Féraud, Raphaël, et al.. (2023). Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks. Ad Hoc Networks. 151. 103283–103283. 3 indexed citations
4.
Bouneffouf, Djallel, et al.. (2021). Toward Skills Dialog Orchestration with Online Learning. 3600–3604.
5.
Bouneffouf, Djallel, et al.. (2021). Toward Optimal Solution for the Context-Attentive Bandit Problem. 3493–3500. 4 indexed citations
6.
Féraud, Raphaël, et al.. (2017). Selection of learning experts. 1005–1010. 2 indexed citations
7.
Laroche, Romain & Raphaël Féraud. (2017). Reinforcement Learning Algorithm Selection. arXiv (Cornell University). 1 indexed citations
8.
Féraud, Raphaël, et al.. (2016). Random Forest for the Contextual Bandit Problem. International Conference on Artificial Intelligence and Statistics. 93–101. 13 indexed citations
9.
Bouneffouf, Djallel & Raphaël Féraud. (2016). Multi-armed bandit problem with known trend. Neurocomputing. 205. 16–21. 39 indexed citations
10.
Féraud, Raphaël, et al.. (2015). EXP3 with drift detection for the switching bandit problem. 1–7. 16 indexed citations
11.
Féraud, Raphaël & Tanguy Urvoy. (2013). Exploration and exploitation of scratch games. Machine Learning. 92(2-3). 377–401. 2 indexed citations
12.
Féraud, Raphaël & Tanguy Urvoy. (2012). A stochastic bandit algorithm for scratch games. Asian Conference on Machine Learning. 129–143. 3 indexed citations
13.
Féraud, Raphaël, et al.. (2008). Driven Forward Features Selection: a comparative study on Neural Networks.
14.
Lemaire, Vincent, et al.. (2008). Contact personalization using a score understanding method. 9. 649–654. 17 indexed citations
15.
Féraud, Raphaël, Olivier Bernier, J.E. Viallet, & Michel Collobert. (2002). A fast and accurate face detector for indexation of face images. 77–82. 43 indexed citations
16.
Féraud, Raphaël & Fabrice Clérot. (2002). A methodology to explain neural network classification. Neural Networks. 15(2). 237–246. 103 indexed citations
17.
Bernier, Olivier, et al.. (2002). MULTRAK: a system for automatic multiperson localization and tracking in real-time. 1. 136–140. 8 indexed citations
18.
Collobert, Michel, et al.. (2002). LISTEN: a system for locating and tracking individual speakers. 283–288. 11 indexed citations
19.
Féraud, Raphaël & Olivier Bernier. (1997). Ensemble and Modular Approaches for Face Detection: A Comparison. Neural Information Processing Systems. 10. 472–478. 6 indexed citations
20.
Viallet, J.E., Michel Collobert, Raphaël Féraud, et al.. (1997). Traitement du signal audio-visuel et visiophone personne libre. 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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