Marc-Alexandre Côté

3.4k total citations
19 papers, 673 citations indexed

About

Marc-Alexandre Côté is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marc-Alexandre Côté has authored 19 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marc-Alexandre Côté's work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Marc-Alexandre Côté is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Marc-Alexandre Côté collaborates with scholars based in United States, Canada and United Kingdom. Marc-Alexandre Côté's co-authors include Maxime Descoteaux, Eleftherios Garyfallidis, Jean‐Christophe Houde, Gabriel Girard, Arnaud Boré, Xingdi Yuan, Hugo Larochelle, David Fortin, Jasmeen Sidhu and François Rheault and has published in prestigious journals such as NeuroImage, Neural Computation and Medical Image Analysis.

In The Last Decade

Marc-Alexandre Côté

18 papers receiving 654 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marc-Alexandre Côté United States 10 468 178 148 142 91 19 673
Chuyang Ye China 14 364 0.8× 105 0.6× 65 0.4× 78 0.5× 98 1.1× 57 561
Casey Goodlett United States 9 285 0.6× 135 0.8× 78 0.5× 14 0.1× 26 0.3× 16 371
C.-F. Westin United States 4 470 1.0× 185 1.0× 122 0.8× 9 0.1× 43 0.5× 5 499
Emanuele Olivetti Italy 11 164 0.4× 40 0.2× 176 1.2× 57 0.4× 51 0.6× 39 400
Leon Y. Cai United States 13 264 0.6× 36 0.2× 170 1.1× 31 0.2× 49 0.5× 41 453
Nicolas Wiest-Daesslé France 9 283 0.6× 43 0.2× 62 0.4× 9 0.1× 198 2.2× 16 487
Zhuang Song United States 13 134 0.3× 68 0.4× 157 1.1× 47 0.3× 108 1.2× 23 402
Lu Meng China 11 135 0.3× 35 0.2× 111 0.8× 79 0.6× 84 0.9× 43 438
Rudra P. K. Poudel United Kingdom 5 167 0.4× 94 0.5× 264 1.8× 106 0.7× 104 1.1× 5 582

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-authorship network of co-authors of Marc-Alexandre Côté

This figure shows the co-authorship network connecting the top 25 collaborators of Marc-Alexandre Côté. A scholar is included among the top collaborators of Marc-Alexandre Côté based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc-Alexandre Côté. Marc-Alexandre Côté is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Xiao, Ziang, et al.. (2024). Can Language Models Serve as Text-Based World Simulators?. 1–17. 3 indexed citations
2.
Yuan, Xingdi, et al.. (2024). OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. 622–636. 3 indexed citations
3.
Jansen, Peter L. M., et al.. (2023). Behavior Cloned Transformers are Neurosymbolic Reasoners. 2777–2788. 2 indexed citations
4.
Yuan, Xingdi, et al.. (2023). ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games. UA Campus Repository (The University of Arizona). 1 indexed citations
5.
Jansen, Peter L. M. & Marc-Alexandre Côté. (2023). TextWorldExpress: Simulating Text Games at One Million Steps Per Second. 169–177. 2 indexed citations
6.
Yuan, Xingdi, et al.. (2021). ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. 31 indexed citations
7.
Adhikari, Ashutosh, Xingdi Yuan, Marc-Alexandre Côté, et al.. (2020). Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.. arXiv (Cornell University). 9 indexed citations
8.
Hausknecht, Matthew, Prithviraj Ammanabrolu, Marc-Alexandre Côté, & Xingdi Yuan. (2020). Interactive Fiction Games: A Colossal Adventure. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7903–7910. 51 indexed citations
9.
Yuan, Xingdi, Marc-Alexandre Côté, Jie Fu, et al.. (2019). Interactive Language Learning by Question Answering. PolyPublie (École Polytechnique de Montréal). 2796–2813. 20 indexed citations
10.
Yuan, Xingdi, Marc-Alexandre Côté, Alessandro Sordoni, et al.. (2018). Counting to Explore and Generalize in Text-based Games. International Conference on Machine Learning. 1–12. 1 indexed citations
11.
Kádár, Ákos, Desmond Elliott, Marc-Alexandre Côté, Grzegorz Chrupała, & Afra Alishahi. (2018). Lessons Learned in Multilingual Grounded Language Learning. Research portal (Tilburg University). 402–412. 11 indexed citations
12.
Garyfallidis, Eleftherios, Marc-Alexandre Côté, François Rheault, et al.. (2017). Recognition of white matter bundles using local and global streamline-based registration and clustering. NeuroImage. 170. 283–295. 180 indexed citations
13.
Neher, Peter, Marc-Alexandre Côté, Jean‐Christophe Houde, Maxime Descoteaux, & Klaus Maier‐Hein. (2017). Fiber tractography using machine learning. NeuroImage. 158. 417–429. 36 indexed citations
14.
Jodoin, Pierre‐Marc, Eleftherios Garyfallidis, Marc-Alexandre Côté, et al.. (2017). A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles. NeuroImage Clinical. 16. 222–233. 102 indexed citations
15.
Côté, Marc-Alexandre & Hugo Larochelle. (2016). An Infinite Restricted Boltzmann Machine. Neural Computation. 28(7). 1265–1288. 41 indexed citations
16.
Descoteaux, Maxime, et al.. (2014). A hybrid approach for optimal automatic segmentation of White Matter tracts in HARDI. 177–180. 7 indexed citations
17.
Côté, Marc-Alexandre, Gabriel Girard, Arnaud Boré, et al.. (2013). Tractometer: Towards validation of tractography pipelines. Medical Image Analysis. 17(7). 844–857. 151 indexed citations
18.
Côté, Marc-Alexandre, Arnaud Boré, Gabriel Girard, Jean‐Christophe Houde, & Maxime Descoteaux. (2012). Tractometer: Online Evaluation System for Tractography. Lecture notes in computer science. 15(Pt 1). 699–706. 22 indexed citations
19.
Côté, Marc-Alexandre, et al.. (2003). Experience with the VHDL environment. 28–33.

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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