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

Authors

606

  1. AT
    Anne Treisman

    Princeton University, United States

    8 publications · 3.9K citations

    8

    h-index

  2. JM
    Jeremy M. Wolfe

    Brigham and Women's Hospital, United States

    8 publications · 3.7K citations

    8

    h-index

  3. KR
    Kyle R. Cave

    University of Southampton, United Kingdom

    7 publications · 3.6K citations

    7

    h-index

  4. ME
    Martin Eimer

    Birkbeck, University of London, United Kingdom

    7 publications · 323 citations

    7

    h-index

  5. SH
    Shaul Hochstein

    Hebrew University of Jerusalem, Israel

    6 publications · 293 citations

    6

    h-index

1–5 of 606

Venues

  1. 29

    h-index

  2. Journal of Vision

    19 publications · 692 citations

    15

    h-index

  3. Attention Perception & Psychophysics

    8 publications · 379 citations

    8

    h-index

  4. Visual Cognition

    7 publications · 242 citations

    7

    h-index

  5. Perception & Psychophysics

    7 publications · 1.2K citations

    7

    h-index

1–5