Thibault Févry

20 total papers · 2.5k total citations
3 papers, 72 citations indexed

About

Thibault Févry is a scholar working on Artificial Intelligence, Communication and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thibault Févry has authored 3 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Thibault Févry's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Wikis in Education and Collaboration (1 paper). Thibault Févry is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Wikis in Education and Collaboration (1 paper). Thibault Févry collaborates with scholars based in United States. Thibault Févry's co-authors include Jason Phang, Noah Fiedel, Noam Shazeer, Sharan Narang, Yi Tay, Colin Raffel, Nicholas FitzGerald, Wei Li, Nan Ding and Hyung Won Chung and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Thibault Févry

3 papers receiving 63 citations

Author Peers

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

Author						Papers	Cites
Thibault Févry	58	15	8	7	4	3	72
Noah Fiedel	29 0.5×	11 0.7×	9 1.1×	7 1.0×	5 1.3×	2	52
Marek Wydmuch	71 1.2×	15 1.0×	9 1.1×	8 1.1×	3 0.8×	6	81
Hongkun Yu	80 1.4×	15 1.0×	7 0.9×	3 0.4×	3 0.8×	3	110
Ruikun Li	29 0.5×	13 0.9×	6 0.8×	9 1.3×	8 2.0×	4	61
Shachi Paul	110 1.9×	20 1.3×	6 0.8×	5 0.7×	2 0.5×	4	124
Davide Testuggine	59 1.0×	35 2.3×	3 0.4×	12 1.7×	4 1.0×	2	85
D. J. Cox	31 0.5×	8 0.5×	5 0.6×	4 0.6×	9 2.3×	2	74
Sami Mourad	80 1.4×	7 0.5×	4 0.5×	3 0.4×	4 1.0×	5	96
Prajjwal Bhargava	55 0.9×	14 0.9×	10 1.3×	3 0.4×		3	67
Michael R. Zhang	32 0.6×	30 2.0×	3 0.4×	6 0.9×	4 1.0×	3	72

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).

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.

Co-authorship network of co-authors of Thibault Févry

This figure shows the co-authorship network connecting the top 25 collaborators of Thibault Févry. A scholar is included among the top collaborators of Thibault Févry 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 Thibault Févry. Thibault Févry 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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