GIPSA-Lab

3.8k papers and 97.0k indexed citations

About

In recent decades, authors affiliated with GIPSA-Lab have published 3.8k papers, which have received a total of 97.0k indexed citations. Scholars at this organization have produced 930 papers in Control and Systems Engineering, 538 papers in Computer Vision and Pattern Recognition and 439 papers in Artificial Intelligence on the topics of Remote-Sensing Image Classification (359 papers), Advanced Control Systems Optimization (217 papers) and Fault Detection and Control Systems (207 papers). Their work is cited by papers focused on Media Technology (30.7k citations), Computer Vision and Pattern Recognition (20.4k citations) and Atmospheric Science (14.1k citations). Authors at GIPSA-Lab collaborate with scholars in France, United States and China and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Nature Communications. Some of GIPSA-Lab's most productive authors include Jocelyn Chanussot, Jón Atli Benediktsson, Danfeng Hong, Christian Jutten, Laurent Condat, Antonio Plaza, Mauro Dalla Mura, Marco Congedo, Yuliya Tarabalka and José M. Bioucas‐Dias.

In The Last Decade

GIPSA-Lab

3.6k papers receiving 96.0k citations

Countries citing scholars working at GIPSA-Lab

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at GIPSA-Lab. 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 GIPSA-Lab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GIPSA-Lab more than expected).

Fields of papers published by authors at GIPSA-Lab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with GIPSA-Lab 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 GIPSA-Lab at the time of their publication.

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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2026