Marc-Alexandre Côté

3.4k citations
19 papers · 673 · h-index 10

Impact in

Papers in

Marc-Alexandre Côté

18 papers receiving 654 citations

Peers

Marc-Alexandre Côté
Comparison fields: 5 of 71
  • Computational Mathematics 24
  • Radiology, Nuclear Medicine and Imaging 468
  • Pediatrics, Perinatology and Child Health 178
  • Cognitive Neuroscience 148
  • Orthopedics and Sports Medicine 40
Replace Chuyang Ye with:
Chuyang Ye China
C.-F. Westin United States
Casey Goodlett United States
Emanuele Olivetti Italy
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Inas A. Yassine Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Marc-Alexandre Côté

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marc-Alexandre Côté Line = papers co-authored together Marc-Alexandre Côté links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017180
2 2013151
3 2017102
4 202051
5 201641
6 201736
7
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
202131
8 201222
9 201920
10 201811
11
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.
20209
12 20147
13 20243
14 20243
15 20232
16 20232
17
Counting to Explore and Generalize in Text-based Games
20181
18 20231
19 20030

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 19 papers that have together received 673 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Artificial Intelligence in Games (4 papers), Multimodal Machine Learning Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), MRI in cancer diagnosis (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Computational Mathematics (24 citations), Radiology, Nuclear Medicine and Imaging (468 citations), Pediatrics, Perinatology and Child Health (178 citations), Cognitive Neuroscience (148 citations) and Orthopedics and Sports Medicine (40 citations). Marc-Alexandre Côté has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Maxime Descoteaux, Eleftherios Garyfallidis, Jean‐Christophe Houde, Arnaud Boré, Gabriel Girard, Xingdi Yuan, Hugo Larochelle, Laurent Petit, Jasmeen Sidhu and Janice Hau. Their work appears in journals such as NeuroImage, Neural Computation, Medical Image Analysis, NeuroImage Clinical 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.

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