Rémi Lebret

13 papers and 424 indexed citations i.

About

Rémi Lebret is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rémi Lebret has authored 13 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Rémi Lebret’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (5 papers). Rémi Lebret is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (5 papers). Rémi Lebret collaborates with scholars based in Switzerland, United States and France. Rémi Lebret's co-authors include Michael Auli, David Grangier, Ronan Collobert, Karl Aberer, Gérard Govaert, Gilles Celeux, Christophe Biernacki, Pedro O. Pinheiro, Hamza Harkous and Amit Gupta and has published in prestigious journals such as Journal of Statistical Software, ACM Transactions on Multimedia Computing Communications and Applications and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

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

Fields of papers citing papers by Rémi Lebret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rémi Lebret

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025