Jean Sénellart

26 papers and 971 indexed citations i.

About

Jean Sénellart is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jean Sénellart has authored 26 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jean Sénellart’s work include Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Quantum Information and Cryptography (7 papers). Jean Sénellart is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Quantum Information and Cryptography (7 papers). Jean Sénellart collaborates with scholars based in France, Australia and United Kingdom. Jean Sénellart's co-authors include Guillaume Klein, Alexander M. Rush, Yuntian Deng, Yoon Kim, Josep Crego, Catherine Kobus, Philipp Koehn, P. Senellart, I. Sagnes and A. Lemaı̂tre and has published in prestigious journals such as Nature Nanotechnology, Computer Physics Communications and Optica.

In The Last Decade

Co-authorship network of co-authors of Jean Sénellart i

Fields of papers citing papers by Jean Sénellart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean Sénellart

Since Specialization
Citations

This map shows the geographic impact of Jean Sénellart'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 Jean Sénellart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Sénellart 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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2025