GIPSA-Lab

3.3k papers and 72.2k indexed citations i.

About

In recent decades, authors affiliated with GIPSA-Lab have published 3.3k papers, which have received a total of 72.2k indexed citations. Scholars at this organization have produced 817 papers in Control and Systems Engineering, 441 papers in Computer Vision and Pattern Recognition and 387 papers in Artificial Intelligence on the topics of Remote-Sensing Image Classification (296 papers), Advanced Control Systems Optimization (196 papers) and Fault Detection and Control Systems (182 papers). Their work is cited by papers focused on Media Technology (20.5k citations), Computer Vision and Pattern Recognition (14.2k citations) and Cognitive Neuroscience (11.8k citations). Authors at GIPSA-Lab collaborate with scholars in France, United States and China and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of GIPSA-Lab's most productive authors include Jocelyn Chanussot, Jón Atli Benediktsson, Danfeng Hong, Christian Jutten, Laurent Condat, Marco Congedo, Mauro Dalla Mura, Christophe Prieur, Olivier Sename and Antonio Plaza.

In The Last Decade

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.

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).

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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