Ghislaine Richard

535 citations
9 papers · 393 indexed · h-index 7
Topics
Face Recognition and Perception (6 papers)Neural dynamics and brain function (4 papers)Visual perception and processing mechanisms (4 papers)
Partner nations
FranceUnited States

In The Last Decade

Ghislaine Richard

9 papers receiving 385 citations

Peers

Ghislaine Richard
Comparison fields: 5 of 56
  • Cognitive Neuroscience 335
  • Computer Vision and Pattern Recognition 83
  • Experimental and Cognitive Psychology 56
  • Social Psychology 39
  • Sensory Systems 39
Replace Peter F. Schade with:
Peter F. Schade United States
Greet Kayaert Belgium
Krishna Srihasam United States
Anthony Stigliani United States
Koorosh Mirpour United States
Annabelle Goujon France
Anke Marit Albers Netherlands
Kevin DeSimone Canada
T. Watanabe United States
Dustin Stansbury United States
Ghislaine Richard relative to Peter F. Schade United States Peter F. Schade's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ghislaine Richard

Since Specialization
Citations

This map shows the geographic impact of Ghislaine Richard'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 Ghislaine Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghislaine Richard more than expected).

Fields of papers citing papers by Ghislaine Richard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ghislaine Richard. 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 Ghislaine Richard. The network helps show where Ghislaine Richard may publish in the future.

Co-authorship network of co-authors of Ghislaine Richard

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 18
2 27
3 25
4 17
5
Category-level hierarchy: what comes first in vision?
1
6 1
7 137
8 14
9 153

About Ghislaine Richard

Ghislaine Richard is a scholar working on General Decision Sciences, Cognitive Neuroscience and Sensory Systems, having authored 9 papers that have together received 393 indexed citations. Recurring topics across this work include Face Recognition and Perception (6 papers), Neural dynamics and brain function (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (335 citations), Sensory Systems (39 citations) and Experimental and Cognitive Psychology (56 citations). Ghislaine Richard has collaborated with scholars based in France and United States. Frequent co-authors include Michèle Fabre‐Thorpe, Arnaud Delorme, Simon J. Thorpe, M. Fabre‐Thorpe, Marc J.‐M. Macé, Denis Fize, B. Doyon, Corinna Lathan, Gilles Clément and Anna Skinner. Their work appears in journals such as Vision Research, Neuroreport and Neurocomputing.

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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