Crowding Models
Crowding Models is a theoretical framework in visual perception research that specifies the mechanisms and constraints by which nearby visual elements interfere with object recognition in peripheral vision, distinguishing it from general models of visual processing by focusing on the spatial interactions underlying crowding phenomena.
136
Publications
8.3K
Citations
291
Authors
192
Institutions
Publications per year
2017–2026
38
Variants
Crowding Model
Parents
136
Crowding and Preselection Revisited.
Samir W. Mahfoud · Parallel Problem Solving from Nature · 1992 · 468 citations
1–5 of 136
291
École Polytechnique Fédérale de Lausanne, Switzerland
13 publications · 733 citations
12
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6
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6
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5
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5
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1–5 of 291
192
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
12 h-index
38 publications
2.1K citations
University of California, Berkeley
Berkeley, United States
10 h-index
14 publications
760 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
11 publications
700 citations
New York University
New York, United States
6 h-index
19 publications
746 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
424 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
5 publications
169 citations
University College London
London, United Kingdom
4 h-index
10 publications
762 citations
KU Leuven
Leuven, Belgium
4 h-index
5 publications
355 citations
1–8 of 192
33 publications · 2.3K citations
25
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5 publications · 126 citations
5
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4 publications · 171 citations
4
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4 publications · 517 citations
4
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4 publications · 315 citations
4
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