Université de Montréal
Impact in
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Molecular Biology top 0.5%
- Receptor Mechanisms and Signaling
Papers in
-
- Neural dynamics and brain function 982
- Clinical Psychology 4.4k
- Child and Adolescent Psychosocial and Emotional Development 1.0k
- Top scholars
- Yoshua BengioYann LeCunPierre LegendreGeoffrey E. HintonPierre PerrónMichel ArmandLéon BottouPatrick Haffner
- Journals
- PLoS ONE (1.1k papers)Scientific Reports (491 papers)Journal of Biological Chemistry (490 papers)The Astrophysical Journal (369 papers)Canadian Journal of Cardiology (364 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Université de Montréal
94.8k papers receiving 3.3M citations
Peers
Comparison fields: 5 of 252
- Cognitive Neuroscience 234.5k
- Molecular Biology 552.0k
- Cellular and Molecular Neuroscience 145.9k
- Cardiology and Cardiovascular Medicine 161.4k
- Neurology 53.4k
Countries citing scholars working at Université de Montréal
This map shows the geographic impact of research produced by authors working at Université de Montréal. 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 Université de Montréal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Université de Montréal more than expected).
Fields of papers published by authors at Université de Montréal
This network shows the impact of papers affiliated with Université de Montréal 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 Université de Montréal at the time of their publication.
About Université de Montréal
In recent decades, authors affiliated with Université de Montréal have published 110.4k papers, which have received a total of 3.7M indexed citations . Scholars at this organization have produced 6.0k papers in Cognitive Neuroscience, 4.4k papers in Clinical Psychology, 2.9k papers in Psychiatry and Mental health, 4.2k papers in Cardiology and Cardiovascular Medicine and 331 papers in Equine on the topics of Stellar, planetary, and galactic studies (1.4k papers), Neuroscience and Neuropharmacology Research (1.4k papers), Child and Adolescent Psychosocial and Emotional Development (1.0k papers), Receptor Mechanisms and Signaling (1.0k papers), Education, sociology, and vocational training (1.0k papers), Neural dynamics and brain function (982 papers), Social Sciences and Governance (904 papers) and Immune Cell Function and Interaction (884 papers). Their work is cited by papers focused on Cognitive Neuroscience (234.5k citations), Molecular Biology (552.0k citations), Cellular and Molecular Neuroscience (145.9k citations), Cardiology and Cardiovascular Medicine (161.4k citations) and Neurology (53.4k citations). Authors at Université de Montréal collaborate with scholars in Canada, United States and France and have published in prestigious journals including PLoS ONE, Scientific Reports, Journal of Biological Chemistry, The Astrophysical Journal and Canadian Journal of Cardiology. Some of Université de Montréal's most productive authors include Yoshua Bengio, Yann LeCun, Pierre Legendre, Geoffrey E. Hinton, Pierre Perrón, Michel Armand, Léon Bottou, Patrick Haffner, J. M. Tarascon and Aaron Courville.
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.