Thibault Févry

About

Thibault Févry is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Thibault Févry has authored 4 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Thibault Févry’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (3 papers). Thibault Févry is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (3 papers). Thibault Févry collaborates with scholars based in United States. Thibault Févry's co-authors include Eunsol Choi, Livio Baldini Soares, Jason Phang, Nicholas FitzGerald, Tom Kwiatkowski, Hyung Won Chung, Jake Marcus, Noam Shazeer, Yanqi Zhou and Sebastian Ruder and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Thibault Févry i

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Fields of papers citing papers by Thibault Févry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thibault Févry

Since Specialization

Citations

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