Olivier Grisel
Impact in
- Artificial Intelligence top 0.05%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Machine Learning in Healthcare
- Machine Learning and Data Classification
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
Papers in
-
- COVID-19 Clinical Research Studies 8
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Gael P. Varoquaux (6 shared papers)Fabián Pedregosa (3 shared papers)Bertrand Thirion (6 shared papers)Ron J. Weiss (1 shared paper)Matthieu Perrot (1 shared paper)Édouard Duchesnay (1 shared paper)Jake Vanderplas (1 shared paper)Alexandre Passos (1 shared paper)
- Journals
- EClinicalMedicine (3 papers)npj Digital Medicine (2 papers)JAMA Network Open (2 papers)Nature Medicine (1 paper)Human Brain Mapping (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Olivier Grisel
23 papers receiving 47.3k citations
Olivier Grisel's Hit Papers
Peers
Comparison fields: 5 of 241
- Artificial Intelligence 10.3k
- Health Information Management 1.3k
- Signal Processing 1k
- Computer Vision and Pattern Recognition 2.7k
- Computational Theory and Mathematics 1.8k
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scikit-learn: Machine Learning in Python Hit paper breakdown → | 2012 | 47619 |
| 2 | Scikit-learn Hit paper breakdown → | 2015 | 523 |
| 3 | 2020 | 128 | |
| 4 | 2021 | 104 | |
| 5 | 2022 | 54 | |
| 6 | 2016 | 53 | |
| 7 | 2021 | 42 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 24 | |
| 10 | 2023 | 24 | |
| 11 | 2022 | 23 | |
| 12 | Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data | 2015 | 21 |
| 13 | 2021 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2014 | 4 | |
| 20 | 2020 | 4 |
About Olivier Grisel
Olivier Grisel is a scholar working on Infectious Diseases, Neurology, Cognitive Neuroscience, Artificial Intelligence and Information Systems, having authored 24 papers that have together received 48.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Long-Term Effects of COVID-19 (4 papers), Functional Brain Connectivity Studies (3 papers), Machine Learning in Healthcare (2 papers), Machine Learning and Data Classification (2 papers), Computational Physics and Python Applications (2 papers), Data Mining and Machine Learning Applications (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Artificial Intelligence (10.3k citations), Health Information Management (1.3k citations), Signal Processing (1k citations), Computer Vision and Pattern Recognition (2.7k citations) and Computational Theory and Mathematics (1.8k citations). Olivier Grisel has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Gael P. Varoquaux, Fabián Pedregosa, Bertrand Thirion, Ron J. Weiss, Matthieu Perrot, Édouard Duchesnay, Jake Vanderplas, Alexandre Passos, David Cournapeau and Matthieu Brucher. Their work appears in journals such as EClinicalMedicine, npj Digital Medicine, JAMA Network Open, Nature Medicine and Human Brain Mapping.
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.