Rémi Leblond

About

Rémi Leblond is a scholar working on Artificial Intelligence, Safety Research and Industrial relations. According to data from OpenAlex, Rémi Leblond has authored 2 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Safety Research and 0 papers in Industrial relations. Recurrent topics in Rémi Leblond’s work include Reinforcement Learning in Robotics (1 paper), Natural Language Processing Techniques (1 paper) and Experimental Behavioral Economics Studies (1 paper). Rémi Leblond is often cited by papers focused on Reinforcement Learning in Robotics (1 paper), Natural Language Processing Techniques (1 paper) and Experimental Behavioral Economics Studies (1 paper). Rémi Leblond collaborates with scholars based in United Kingdom, Canada and United States. Rémi Leblond's co-authors include Jean-Baptiste Alayrac, Ioannis Antonoglou, Karen Simonyan, Laurent Sifre, Oriol Vinyals, Maria K. Eckstein, Alexander Sasha Vezhnevets, Joel Z. Leibo and Yuhuai Wu and has published in prestigious journals such as International Conference on Machine Learning and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Rémi Leblond i

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Fields of papers citing papers by Rémi Leblond

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rémi Leblond

Since Specialization

Citations

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