Sylvain Gelly

41 papers and 1.4k indexed citations i.

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 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 7 papers in Economics and Econometrics. Recurrent topics in Sylvain Gelly’s work include Generative Adversarial Networks and Image Synthesis (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Reinforcement Learning in Robotics (8 papers). Sylvain Gelly is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Reinforcement Learning in Robotics (8 papers). Sylvain Gelly collaborates with scholars based in United States, France and Germany. Sylvain Gelly's co-authors include David Silver, Olivier Bousquet, Bernhard Schölkopf, Ilya Tolstikhin, Mario Lučić, Xiaohua Zhai, Neil Houlsby, Yizao Wang, Olivier Bachem and Karol Kurach and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Sylvain Gelly i

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.

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).

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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