Selective Attention
Selective Attention is a cognitive process within the genus of attention mechanisms that differentiates itself by enabling the prioritization of specific visual stimuli or regions in the environment while simultaneously filtering out irrelevant or distracting information.
17K
Publications
1.5M
Citations
28.3K
Authors
4.3K
Institutions
Publications per year
2017–2026
3.5K
17K
A feature-integration theory of attention
Anne Treisman, Garry A. Gelade · Cognitive Psychology · 1980 · 12.4K citations
Medicine, Psychology, Vision Science +12
Michael I. Posner · Quarterly Journal of Experimental Psychology · 1980 · 9.6K citations
Medicine, Neuroscience, Psychology +14
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang, Banggu Wu, Pengfei Zhu et al. · 2020 · 8.1K citations
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28.3K
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University of California San Diego, United States
84 publications · 22.5K citations
63
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58
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54
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53
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1–5 of 28.3K
4.3K
University College London
London, United Kingdom
111 h-index
706 publications
99.5K citations
University of California San Diego
San Diego, United States
105 h-index
585 publications
92.4K citations
University of Oxford
Oxford, United Kingdom
92 h-index
598 publications
68.6K citations

Johns Hopkins University
Baltimore, United States
90 h-index
336 publications
63K citations
Harvard University
Cambridge, United States
87 h-index
458 publications
48.6K citations
University of California, Davis
Davis, United States
83 h-index
478 publications
57.2K citations
New York University
New York, United States
78 h-index
437 publications
49.5K citations

University of Toronto
Toronto, Canada
77 h-index
526 publications
45.8K citations
1–8 of 4.3K
963 publications · 102.6K citations
157
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379 publications · 59.2K citations
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375 publications · 33.4K citations
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262 publications · 37.5K citations
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319 publications · 34.1K citations
101
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