Sylvain Gelly

129 total papers · 28.6k total citations
46 papers, 1.7k citations indexed

About

Sylvain Gelly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Sylvain Gelly has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 8 papers in Economics and Econometrics. Recurrent topics in Sylvain Gelly's work include Artificial Intelligence in Games (10 papers), Reinforcement Learning in Robotics (10 papers) and Metaheuristic Optimization Algorithms Research (10 papers). Sylvain Gelly is often cited by papers focused on Artificial Intelligence in Games (10 papers), Reinforcement Learning in Robotics (10 papers) and Metaheuristic Optimization Algorithms Research (10 papers). Sylvain Gelly collaborates with scholars based in France, United States and China. Sylvain Gelly's co-authors include David Silver, Olivier Bousquet, Olivier Teytaud, Bernhard Schölkopf, Ilya Tolstikhin, Yizao Wang, Rémi Munos, Mario Lučić, Neil Houlsby and Xiaohua Zhai and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Neural Networks.

In The Last Decade

Sylvain Gelly

46 papers receiving 1.6k citations

Hit Papers

Wasserstein Auto-Encoders 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sylvain Gelly 1.2k 591 313 234 147 46 1.7k
Edward J. Powley 1.3k 1.1× 391 0.7× 267 0.9× 398 1.7× 131 0.9× 29 2.0k
Daniel Whitehouse 1.3k 1.0× 374 0.6× 246 0.8× 350 1.5× 129 0.9× 15 1.9k
Philipp Rohlfshagen 1.3k 1.1× 386 0.7× 208 0.7× 335 1.4× 133 0.9× 24 2.1k
Cameron Browne 1.6k 1.3× 588 1.0× 225 0.7× 648 2.8× 119 0.8× 55 2.3k
Santiago Ontañón 1.5k 1.2× 518 0.9× 79 0.3× 385 1.6× 100 0.7× 139 2.1k
Sotirios Chatzis 710 0.6× 415 0.7× 136 0.4× 62 0.3× 227 1.5× 86 1.8k
Kumar Chellapilla 1.2k 1.0× 542 0.9× 99 0.3× 175 0.7× 63 0.4× 60 2.3k
Dymitr Ruta 655 0.5× 324 0.5× 78 0.2× 45 0.2× 96 0.7× 61 1.6k
Changjie Fan 588 0.5× 669 1.1× 51 0.2× 93 0.4× 49 0.3× 97 1.5k
Carlos Cotta 999 0.8× 170 0.3× 78 0.2× 117 0.5× 127 0.9× 115 1.8k

Countries citing papers authored by Sylvain Gelly

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Gelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Gelly

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

All Works

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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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