Pascal Girard

4.2k citations
39 papers · 3.4k · h-index 22

Impact in

Papers in

Pascal Girard

39 papers receiving 3.3k citations

Peers

Pascal Girard
Comparison fields: 5 of 85
  • Cognitive Neuroscience 2.7k
  • Computer Vision and Pattern Recognition 288
  • Health Informatics 26
  • Cellular and Molecular Neuroscience 149
  • Experimental and Cognitive Psychology 137
Replace Christopher L. Keown with:
Christopher L. Keown United States
Sophia Mueller Germany
Emmanuel Procyk France
Matt F. Glasser United States
Lindsay B. Lewis Canada
D Rex United States
Margaret D. King United States
Ethan A. Solomon United States
Guillaume Auzias France
Sonja Delmonte Ireland
Pascal Girard relative to Christopher L. Keown United States Christopher L. Keown's profile →
Citations per field
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Christopher L. Keown · 1×
Citations per year

Countries citing papers authored by Pascal Girard

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Girard, 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 Pascal Girard Line = papers co-authored together Pascal Girard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998702
2 1995291
3 2001270
4 2001261
5 2018214
6 1992182
7 2001177
8 1989163
9 2001127
10 2017117
11 199196
12 199692
13 200188
14 199971
15 199268
16 199467
17 199554
18 199153
19 201841
20 200838

About Pascal Girard

Pascal Girard is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 3.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (24 papers), Primate Behavior and Ecology (4 papers), Multisensory perception and integration (3 papers), Medical Image Segmentation Techniques (3 papers), Face Recognition and Perception (2 papers), Neural dynamics and brain function (2 papers), Scientific Computing and Data Management (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Computer Vision and Pattern Recognition (288 citations), Health Informatics (26 citations), Cellular and Molecular Neuroscience (149 citations) and Experimental and Cognitive Psychology (137 citations). Pascal Girard has collaborated with scholars based in France, Australia and United States. Frequent co-authors include J. Bullier, Andrew C. James, J.-M. Hupe, Stephen G. Lomber, Bertram R. Payne, Paul Antoine Salin, Jean‐Michel Hupé, Lionel G. Nowak, Mhj Munk and Christophe Jouffrais. Their work appears in journals such as Journal of Neurophysiology, Scientific Reports, Visual Neuroscience, Progress in brain research and Animal Cognition.

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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