Département d'Informatique

2.0k papers and 43.2k indexed citations i.

About

In recent decades, authors affiliated with Département d'Informatique have published 2.0k papers, which have received a total of 43.2k indexed citations. Scholars at this organization have produced 394 papers in Artificial Intelligence, 239 papers in Computer Networks and Communications and 230 papers in Computational Theory and Mathematics on the topics of Biomedical Text Mining and Ontologies (74 papers), Semantic Web and Ontologies (70 papers) and QoS-Aware Web Services Composition and Semantic Matching (60 papers). Their work is cited by papers focused on Artificial Intelligence (5.7k citations), Computer Vision and Pattern Recognition (5.0k citations) and Molecular Biology (4.7k citations). Authors at Département d'Informatique collaborate with scholars in France, Canada and United States and have published in prestigious journals including Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences. Some of Département d'Informatique's most productive authors include Michel Crouzeix, Pierre-Arnaud Raviart, Pierre L’Ecuyer, Pierre‐Marie Preux, Josef Šivic, Samuel Blanquart, Nicolas Lartillot, Jean Ponce, Tomáš Pajdla and Akihiko Torii.

In The Last Decade

Fields of papers published by authors at Département d'Informatique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Département d'Informatique at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Département d'Informatique at the time of their publication.

Countries citing scholars working at Département d'Informatique

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Département d'Informatique. 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 papers produced at Département d'Informatique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Département d'Informatique 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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