William Beaudot

551 citations
21 papers · 404 · h-index 11

Impact in

    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Color perception and design

Papers in

William Beaudot

21 papers receiving 391 citations

Peers

William Beaudot
Comparison fields: 5 of 38
  • Cognitive Neuroscience 360
  • Social Psychology 98
  • Experimental and Cognitive Psychology 52
  • Atomic and Molecular Physics, and Optics 115
  • Computer Vision and Pattern Recognition 62
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Rick Gurnsey Canada
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S. P. McKee United States
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Jack Broerse Australia
David R. T. Keeble United Kingdom
Shigeko Takahashi Japan
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Citations per year

Countries citing papers authored by William Beaudot

Since Specialization
Citations

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

Fields of papers citing papers by William Beaudot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside William Beaudot, 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 William Beaudot Line = papers co-authored together William Beaudot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200057
2 200346
3 200143
4 200242
5 200435
6 200533
7 200131
8 200229
9 201123
10 200916
11 201711
12 19969
13 19969
14 20005
15 19934
16 20103
17 20022
18 20022
19
The vertebrate retina : A model of spatiotemporal image filtering
19932
20 19961

About William Beaudot

William Beaudot is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Molecular Biology, Social Psychology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 404 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (16 papers), Neural dynamics and brain function (8 papers), Color Science and Applications (7 papers), Color perception and design (6 papers), Retinal Development and Disorders (6 papers), Multisensory perception and integration (2 papers), Neural and Behavioral Psychology Studies (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (360 citations), Social Psychology (98 citations), Experimental and Cognitive Psychology (52 citations), Atomic and Molecular Physics, and Optics (115 citations) and Computer Vision and Pattern Recognition (62 citations). William Beaudot has collaborated with scholars based in Canada, Switzerland and Japan. Frequent co-authors include Kathy T. Mullen, William McIlhagga, Robert F. Hess, Iliya V. Ivanov, Laurence R. Harris, Jeanny Hérault and R. F. Hess. Their work appears in journals such as Vision Research, Perception, Journal of Vision, Network Computation in Neural Systems and Visual Neuroscience.

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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