Marc-Alexandre Côté
Impact in
- Computational Mathematics top 5%
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 7
- Artificial Intelligence in Games 5
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- Multimodal Machine Learning Applications 4
- Co-authors
- Maxime Descoteaux (7 shared papers)Eleftherios Garyfallidis (4 shared papers)Jean‐Christophe Houde (4 shared papers)Gabriel Girard (2 shared papers)Arnaud Boré (2 shared papers)Xingdi Yuan (9 shared papers)Matthew Hausknecht (4 shared papers)Laurent Petit (2 shared papers)
- Journals
- NeuroImage (2 papers)NeuroImage Clinical (1 paper)Medical Image Analysis (1 paper)Neural Computation (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marc-Alexandre Côté
20 papers receiving 868 citations
Peers
Comparison fields: 5 of 74
- Computational Mathematics 26
- Radiology, Nuclear Medicine and Imaging 557
- Pediatrics, Perinatology and Child Health 196
- Cognitive Neuroscience 157
- Artificial Intelligence 244
Countries citing papers authored by Marc-Alexandre Côté
This map shows the geographic impact of Marc-Alexandre Côté'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 Marc-Alexandre Côté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc-Alexandre Côté more than expected).
Fields of papers citing papers by Marc-Alexandre Côté
This network shows the impact of papers produced by Marc-Alexandre Côté. 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 Marc-Alexandre Côté. The network helps show where Marc-Alexandre Côté may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc-Alexandre Côté, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 208 | |
| 2 | 2013 | 178 | |
| 3 | 2017 | 114 | |
| 4 | 2019 | 96 | |
| 5 | 2020 | 59 | |
| 6 | 2017 | 50 | |
| 7 | 2016 | 45 | |
| 8 | ALFWorld: Aligning Text and Embodied Environments for Interactive Learning | 2021 | 34 |
| 9 | 2017 | 31 | |
| 10 | 2012 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2018 | 12 | |
| 13 | Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. | 2020 | 9 |
| 14 | 2014 | 7 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | Counting to Explore and Generalize in Text-based Games | 2018 | 1 |
| 20 | 2023 | 1 |
About Marc-Alexandre Côté
Marc-Alexandre Côté is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Computer Networks and Communications, having authored 21 papers that have together received 900 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Natural Language Processing Techniques (7 papers), Artificial Intelligence in Games (5 papers), Advanced MRI Techniques and Applications (5 papers), Multimodal Machine Learning Applications (4 papers), MRI in cancer diagnosis (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Computational Mathematics (26 citations), Radiology, Nuclear Medicine and Imaging (557 citations), Pediatrics, Perinatology and Child Health (196 citations), Cognitive Neuroscience (157 citations) and Artificial Intelligence (244 citations). Marc-Alexandre Côté has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Maxime Descoteaux, Eleftherios Garyfallidis, Jean‐Christophe Houde, Gabriel Girard, Arnaud Boré, Xingdi Yuan, Matthew Hausknecht, Laurent Petit, Hugo Larochelle and Jasmeen Sidhu. Their work appears in journals such as NeuroImage, NeuroImage Clinical, Medical Image Analysis, Neural Computation and Lecture notes in computer science.
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.