Ghislain St-Yves

1.1k total citations · 1 hit paper
12 papers, 470 citations indexed

About

Ghislain St-Yves is a scholar working on Cognitive Neuroscience, Biophysics and Computer Networks and Communications. According to data from OpenAlex, Ghislain St-Yves has authored 12 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Biophysics and 3 papers in Computer Networks and Communications. Recurrent topics in Ghislain St-Yves's work include Neural dynamics and brain function (6 papers), Face Recognition and Perception (4 papers) and Cell Image Analysis Techniques (4 papers). Ghislain St-Yves is often cited by papers focused on Neural dynamics and brain function (6 papers), Face Recognition and Perception (4 papers) and Cell Image Analysis Techniques (4 papers). Ghislain St-Yves collaborates with scholars based in United States, Canada and United Kingdom. Ghislain St-Yves's co-authors include Thomas Naselaris, Jörn Davidsen, Jesse Breedlove, Emily Allen, Kendrick Kay, Yihan Wu, Ian Charest, Jacob S. Prince, Ben Hutchinson and Matthias Nau and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Nature Neuroscience.

In The Last Decade

Ghislain St-Yves

11 papers receiving 460 citations

Hit Papers

A massive 7T fMRI dataset to bridge cognitive neuroscienc... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghislain St-Yves United States 8 326 102 90 58 49 12 470
Valentin Zhigulin United States 7 241 0.7× 109 1.1× 64 0.7× 15 0.3× 118 2.4× 10 451
А. А. Овчинников Russia 7 251 0.8× 81 0.8× 18 0.2× 22 0.4× 70 1.4× 14 406
Toru Aonishi Japan 12 201 0.6× 83 0.8× 30 0.3× 35 0.6× 71 1.4× 52 436
Alice Patania United States 7 115 0.4× 47 0.5× 41 0.5× 65 1.1× 195 4.0× 13 411
Ana P. Millán Spain 9 154 0.5× 137 1.3× 10 0.1× 49 0.8× 168 3.4× 15 409
Takeaki Shimokawa Japan 13 298 0.9× 70 0.7× 8 0.1× 91 1.6× 160 3.3× 24 456
Zubaer Ibna Mannan South Korea 12 213 0.7× 58 0.6× 64 0.7× 19 0.3× 195 4.0× 15 508
Massimo Riani Italy 11 494 1.5× 158 1.5× 40 0.4× 81 1.4× 467 9.5× 18 785
Björn Kralemann Germany 8 293 0.9× 279 2.7× 12 0.1× 69 1.2× 153 3.1× 8 532
Samuel A. Ellias United States 6 171 0.5× 34 0.3× 19 0.2× 17 0.3× 15 0.3× 8 403

Countries citing papers authored by Ghislain St-Yves

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ghislain St-Yves

This figure shows the co-authorship network connecting the top 25 collaborators of Ghislain St-Yves. A scholar is included among the top collaborators of Ghislain St-Yves 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 Ghislain St-Yves. Ghislain St-Yves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
St-Yves, Ghislain, Kendrick Kay, & Thomas Naselaris. (2025). Variation in the geometry of concept manifolds across human visual cortex. PLoS Computational Biology. 21(9). e1013416–e1013416.
3.
Allen, Emily, Ghislain St-Yves, Yihan Wu, et al.. (2021). A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience. 25(1). 116–126. 211 indexed citations breakdown →
4.
St-Yves, Ghislain, et al.. (2021). Voxel-to-voxel predictive models reveal unexpected structure in unexplained variance. NeuroImage. 238. 118266–118266. 7 indexed citations
5.
Jamison, Keith, Meenakshi Khosla, Emily Allen, et al.. (2021). NeuroGen: Activation optimized image synthesis for discovery neuroscience. NeuroImage. 247. 118812–118812. 16 indexed citations
6.
Breedlove, Jesse, Ghislain St-Yves, Cheryl A. Olman, & Thomas Naselaris. (2020). Generative Feedback Explains Distinct Brain Activity Codes for Seen and Mental Images. Current Biology. 30(12). 2211–2224.e6. 50 indexed citations
8.
St-Yves, Ghislain & Thomas Naselaris. (2018). Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images. PubMed. 2018. 1054–1061. 34 indexed citations
9.
St-Yves, Ghislain & Thomas Naselaris. (2017). The feature-weighted receptive field: an interpretable encoding model for complex feature spaces. NeuroImage. 180(Pt A). 188–202. 43 indexed citations
10.
St-Yves, Ghislain & Jörn Davidsen. (2015). Influence of the medium's dimensionality on defect-mediated turbulence. Physical Review E. 91(3). 32926–32926. 7 indexed citations
11.
St-Yves, Ghislain, et al.. (2013). Spiral Wave Chimeras in Complex Oscillatory and Chaotic Systems. Physical Review Letters. 111(13). 134101–134101. 96 indexed citations
12.
St-Yves, Ghislain & Jörn Davidsen. (2010). Defect mediated turbulence in a locally quasiperiodic chemical medium. The Journal of Chemical Physics. 133(4). 44909–44909. 4 indexed citations

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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