Laboratoire d'Informatique de Grenoble

1.3k papers and 16.1k indexed citations i.

About

In recent decades, authors affiliated with Laboratoire d'Informatique de Grenoble have published 1.3k papers, which have received a total of 16.1k indexed citations. Scholars at this organization have produced 470 papers in Artificial Intelligence, 274 papers in Computer Networks and Communications and 168 papers in Information Systems on the topics of Natural Language Processing Techniques (72 papers), Distributed and Parallel Computing Systems (64 papers) and Parallel Computing and Optimization Techniques (63 papers). Their work is cited by papers focused on Artificial Intelligence (4.8k citations), Computer Networks and Communications (2.9k citations) and Computer Vision and Pattern Recognition (2.6k citations). Authors at Laboratoire d'Informatique de Grenoble collaborate with scholars in France, United States and Germany and have published in prestigious journals including Nature, The Journal of Chemical Physics and Nature Communications. Some of Laboratoire d'Informatique de Grenoble's most productive authors include Jérôme Euzenat, Panayotis Mertikopoulos, Pavel Shvaiko, Michel Vacher, Anne Spalanzani, Olivier Aycard, Éric Gaussier, Pierre Tchounikine, Anthony Fleury and Pablo Arrighi.

In The Last Decade

Fields of papers published by authors at Laboratoire d'Informatique de Grenoble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Laboratoire d'Informatique de Grenoble 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 Laboratoire d'Informatique de Grenoble at the time of their publication.

Countries citing scholars working at Laboratoire d'Informatique de Grenoble

Since Specialization
Citations

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