Mila - Quebec Artificial Intelligence Institute

648 papers and 11.6k indexed citations i.

About

In recent decades, authors affiliated with Mila - Quebec Artificial Intelligence Institute have published 648 papers, which have received a total of 11.6k indexed citations. Scholars at this organization have produced 228 papers in Artificial Intelligence, 140 papers in Cognitive Neuroscience and 84 papers in Computer Vision and Pattern Recognition on the topics of Topic Modeling (74 papers), Neural dynamics and brain function (70 papers) and Functional Brain Connectivity Studies (69 papers). Their work is cited by papers focused on Artificial Intelligence (4.1k citations), Cognitive Neuroscience (1.9k citations) and Computer Vision and Pattern Recognition (1.8k citations). Authors at Mila - Quebec Artificial Intelligence Institute collaborate with scholars in Canada, United States and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Mila - Quebec Artificial Intelligence Institute's most productive authors include Yoshua Bengio, Danilo Bzdok, Andrea Lodi, Antoine Prouvost, Jian Tang, Gaël Varoquaux, Veronika Cheplygina, Blake A. Richards, Guillaume Dumas and Robin Dunbar.

In The Last Decade

Fields of papers published by authors at Mila - Quebec Artificial Intelligence Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Mila - Quebec Artificial Intelligence Institute 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 Mila - Quebec Artificial Intelligence Institute at the time of their publication.

Countries citing scholars working at Mila - Quebec Artificial Intelligence Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Mila - Quebec Artificial Intelligence Institute. 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 Mila - Quebec Artificial Intelligence Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mila - Quebec Artificial Intelligence Institute 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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