Feature Integration

Feature Integration is a theoretical framework in visual search that explains how distinct visual features such as color, shape, and orientation are bound together into coherent perceptual objects through a two-stage process involving preattentive feature detection and focused attentional integration.

546

Publications

61.3K

Citations

1.7K

Authors

592

Institutions

Publications per year

2017–2026

206

Variants

Feature Integration Theory

Authors

1.7K

  1. AT
    Anne Treisman

    Princeton University, United States

    15 publications · 17.5K citations

    15

    h-index

  2. BH
    Bernhard Hommel

    Leiden University, Netherlands

    12 publications · 2.3K citations

    12

    h-index

  3. WP
    William Prinzmetal

    University of California, Berkeley, United States

    8 publications · 961 citations

    8

    h-index

  4. MH
    Michael H. Herzog

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 468 citations

    7

    h-index

  5. AC
    Asher Cohen

    Hebrew University of Jerusalem, Israel

    7 publications · 636 citations

    7

    h-index

1–5 of 1.7K

Venues

  1. 37

    h-index

  2. Journal of Vision

    29 publications · 2.3K citations

    20

    h-index

  3. Vision Research

    15 publications · 740 citations

    13

    h-index

  4. Perception & Psychophysics

    12 publications · 976 citations

    12

    h-index

  5. IEEE Access

    12 publications · 406 citations

    11

    h-index

1–5