Attention
Attention is a cognitive mechanism within cognitive architecture that selectively prioritizes specific perceptual, mnemonic, or computational resources over others to facilitate goal-directed behavior through dynamic allocation of processing capacity.
33.4K
Publications
2.5M
Citations
85.4K
Authors
9.4K
Institutions
Publications per year
2017–2026
17.6K
33.4K
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text
A feature-integration theory of attention
Anne Treisman, Garry A. Gelade · Cognitive Psychology · 1980 · 12.4K citations
Medicine, Psychology, Vision Science +12
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang, Banggu Wu, Pengfei Zhu et al. · 2020 · 8.1K citations
1–5 of 33.4K
85.4K
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University of California San Diego, United States
41 publications · 11.1K citations
37
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35
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35
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32
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1–5 of 85.4K
9.4K
University College London
London, United Kingdom
95 h-index
656 publications
72.1K citations

Chinese Academy of Sciences
Beijing, China
92 h-index
1.4K publications
92.5K citations
University of Oxford
Oxford, United Kingdom
91 h-index
613 publications
77.4K citations
Harvard University
Cambridge, United States
91 h-index
549 publications
66.6K citations
Tsinghua University
Beijing, China
88 h-index
966 publications
149.7K citations
University of California San Diego
San Diego, United States
86 h-index
565 publications
77K citations
University of Chinese Academy of Sciences
Beijing, China
83 h-index
1K publications
70K citations
Stanford University
Stanford, United States
82 h-index
475 publications
85.3K citations
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Repository · 1.3K publications · 95.3K citations
126
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274 publications · 44K citations
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371 publications · 38K citations
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Conference · 304 publications · 40K citations
103
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251 publications · 27.6K citations
89
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