Centre Inria de l'Université Grenoble Alpes

1.6k papers and 70.0k indexed citations i.

About

In recent decades, authors affiliated with Centre Inria de l'Université Grenoble Alpes have published 1.6k papers, which have received a total of 70.0k indexed citations. Scholars at this organization have produced 392 papers in Computer Vision and Pattern Recognition, 257 papers in Artificial Intelligence and 208 papers in Computer Networks and Communications on the topics of Advanced Vision and Imaging (134 papers), Robotics and Sensor-Based Localization (85 papers) and Advanced Image and Video Retrieval Techniques (84 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (37.7k citations), Artificial Intelligence (11.9k citations) and Aerospace Engineering (8.9k citations). Authors at Centre Inria de l'Université Grenoble Alpes collaborate with scholars in France, United States and Germany and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of Centre Inria de l'Université Grenoble Alpes's most productive authors include Bill Triggs, Navneet Dalal, C. Schmid, Krystian Mikolajczyk, Svetlana Lazebnik, Jean Ponce, Cordelia Schmid, Gilles Celeux, Peter Sturm and Gilda Soromenho.

In The Last Decade

Fields of papers published by authors at Centre Inria de l'Université Grenoble Alpes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Centre Inria de l'Université Grenoble Alpes 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 Centre Inria de l'Université Grenoble Alpes at the time of their publication.

Countries citing scholars working at Centre Inria de l'Université Grenoble Alpes

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Centre Inria de l'Université Grenoble Alpes. 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 Centre Inria de l'Université Grenoble Alpes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Centre Inria de l'Université Grenoble Alpes 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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