Olivier Grisel
Impact in
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- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Functional Brain Connectivity Studies 3
- Neural dynamics and brain function 2
- Face Recognition and Perception 1
- EEG and Brain-Computer Interfaces 1
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- SARS-CoV-2 and COVID-19 Research 1
- COVID-19 Clinical Research Studies 1
- Co-authors
- Gaël Varoquaux (5 shared papers)Andreas Mueller (1 shared paper)Fabian Pedregosa (1 shared paper)Gilles Louppe (1 shared paper)Lars Buitinck (1 shared paper)Bertrand Thirion (3 shared papers)Danilo Bzdok (2 shared papers)Michael Eickenberg (1 shared paper)
- Journals
- Human Brain Mapping (1 paper)PLoS Computational Biology (1 paper)Annales de Dermatologie et de Vénéréologie (1 paper)Lecture notes in computer science (1 paper)GetMobile Mobile Computing and Communications (1 paper)
- Partner nations
- FranceNetherlandsGermany
In The Last Decade
Olivier Grisel
4 papers receiving 511 citations
Olivier Grisel's Hit Papers
Peers
Comparison fields: 5 of 148
- Cognitive Neuroscience 83
- Health Information Management 12
- Artificial Intelligence 78
- Signal Processing 22
- Radiology, Nuclear Medicine and Imaging 34
Countries citing papers authored by Olivier Grisel
This map shows the geographic impact of Olivier Grisel's research. 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 Olivier Grisel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Grisel more than expected).
Fields of papers citing papers by Olivier Grisel
This network shows the impact of papers produced by Olivier Grisel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Olivier Grisel. The network helps show where Olivier Grisel may publish in the future.
Co-authors
The 25 scholars most cited alongside Olivier Grisel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scikit-learn Hit paper breakdown → | 2015 | 452 |
| 2 | 2016 | 51 | |
| 3 | 2019 | 19 | |
| 4 | 2014 | 4 | |
| 5 | 2025 | 0 | |
| 6 | 2020 | 0 |
About Olivier Grisel
Olivier Grisel is a scholar working on Cognitive Neuroscience, Infectious Diseases, Neurology, Artificial Intelligence and Computational Theory and Mathematics, having authored 6 papers that have together received 526 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (3 papers), Neural dynamics and brain function (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Computational Drug Discovery Methods (1 paper), Face Recognition and Perception (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (83 citations), Health Information Management (12 citations), Artificial Intelligence (78 citations), Signal Processing (22 citations) and Radiology, Nuclear Medicine and Imaging (34 citations). Olivier Grisel has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Gaël Varoquaux, Andreas Mueller, Fabian Pedregosa, Gilles Louppe, Lars Buitinck, Bertrand Thirion, Danilo Bzdok, Michael Eickenberg, Cyril Poupon and Oliver Gruber. Their work appears in journals such as Human Brain Mapping, PLoS Computational Biology, Annales de Dermatologie et de Vénéréologie, Lecture notes in computer science and GetMobile Mobile Computing and Communications.
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.