Feature Search

Feature Search is a visual search paradigm in which targets are identified rapidly and pre-attentively based on a single distinguishing visual attribute, such as color or orientation, without the need for conjoint analysis of multiple features.

263

Publications

26.4K

Citations

734

Authors

342

Institutions

Publications per year

2017–2026

66

Variants

Feature-based Search

Authors

734

  1. AT
    Anne Treisman

    Princeton University, United States

    10 publications · 5.5K citations

    10

    h-index

  2. SH
    Shaul Hochstein

    Hebrew University of Jerusalem, Israel

    6 publications · 293 citations

    6

    h-index

  3. JM
    Jeremy M. Wolfe

    Brigham and Women's Hospital, United States

    5 publications · 438 citations

    5

    h-index

  4. JT
    Jan Theeuwes

    Vrije Universiteit Amsterdam, Netherlands

    5 publications · 282 citations

    5

    h-index

  5. HE
    Howard E. Egeth

    Johns Hopkins University, United States

    4 publications · 416 citations

    4

    h-index

1–5 of 734

Venues

  1. 23

    h-index

  2. Journal of Vision

    15 publications · 526 citations

    12

    h-index

  3. Perception & Psychophysics

    8 publications · 1.7K citations

    8

    h-index

  4. Visual Cognition

    7 publications · 149 citations

    7

    h-index

  5. Vision Research

    7 publications · 292 citations

    7

    h-index

1–5