Ghislain St-Yves
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Biophysics top 10%
Papers in
-
- Neural dynamics and brain function 6
- Face Recognition and Perception 5
- Visual perception and processing mechanisms 3
- Functional Brain Connectivity Studies 2
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- Cell Image Analysis Techniques 4
- Co-authors
- Thomas Naselaris (10 shared papers)Jörn Davidsen (3 shared papers)Chad Gu (1 shared paper)Jesse L. Breedlove (3 shared papers)Kendrick Kay (4 shared papers)Emily Allen (2 shared papers)Yihan Wu (2 shared papers)Bradley A. Caron (1 shared paper)
- Journals
- NeuroImage (3 papers)Physical Review Letters (1 paper)Current Biology (1 paper)Nature Neuroscience (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ghislain St-Yves
12 papers receiving 529 citations
Ghislain St-Yves's Hit Papers
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 363
- Biophysics 40
- Computer Vision and Pattern Recognition 110
- Computer Networks and Communications 107
- Statistical and Nonlinear Physics 50
Countries citing papers authored by Ghislain St-Yves
This map shows the geographic impact of Ghislain St-Yves'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 Ghislain St-Yves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghislain St-Yves more than expected).
Fields of papers citing papers by Ghislain St-Yves
This network shows the impact of papers produced by Ghislain St-Yves. 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 Ghislain St-Yves. The network helps show where Ghislain St-Yves may publish in the future.
Co-authors
The 19 scholars most cited alongside Ghislain St-Yves, 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 | A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence Hit paper breakdown → | 2021 | 252 |
| 2 | 2013 | 102 | |
| 3 | 2020 | 57 | |
| 4 | 2017 | 48 | |
| 5 | 2018 | 40 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 9 | |
| 8 | 2015 | 7 | |
| 9 | 2010 | 4 | |
| 10 | 2019 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 |
About Ghislain St-Yves
Ghislain St-Yves is a scholar working on Cognitive Neuroscience, Biophysics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 13 papers that have together received 542 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Face Recognition and Perception (5 papers), Cell Image Analysis Techniques (4 papers), Visual perception and processing mechanisms (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Visual Attention and Saliency Detection (2 papers), Functional Brain Connectivity Studies (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Cognitive Neuroscience (363 citations), Biophysics (40 citations), Computer Vision and Pattern Recognition (110 citations), Computer Networks and Communications (107 citations) and Statistical and Nonlinear Physics (50 citations). Ghislain St-Yves has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Thomas Naselaris, Jörn Davidsen, Chad Gu, Jesse L. Breedlove, Kendrick Kay, Emily Allen, Yihan Wu, Bradley A. Caron, Jacob S. Prince and Ian Charest. Their work appears in journals such as NeuroImage, Physical Review Letters, Current Biology, Nature Neuroscience and The Journal of Chemical Physics.
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.