Feature-based Search
Feature-Based Search is a visual search paradigm in which attention is guided by the processing of specific perceptual attributes, such as color, orientation, or motion, distinguishing it from object- or conjunction-based search strategies through its reliance on a single visual feature dimension.
242
Publications
22.5K
Citations
606
Authors
274
Institutions
Publications per year
2017–2026
41
Parents
242
1–5 of 242
606
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274

Birkbeck, University of London
London, United Kingdom
11 h-index
21 publications
1.9K citations

Tel Aviv University
Tel Aviv, Israel
9 h-index
15 publications
819 citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
15 publications
7.2K citations
Harvard University
Cambridge, United States
8 h-index
15 publications
1.5K citations

The University of Queensland
Brisbane, Australia
6 h-index
16 publications
591 citations
Hebrew University of Jerusalem
Jerusalem, Israel
6 h-index
10 publications
612 citations

Brigham and Women's Hospital
Boston, United States
6 h-index
15 publications
915 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
12 publications
460 citations
1–8 of 274
36 publications · 6.6K citations
29
h-index
19 publications · 692 citations
15
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8 publications · 379 citations
8
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7 publications · 242 citations
7
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7 publications · 1.2K citations
7
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1–5