Facial Feature Processing

Facial Feature Processing is a cognitive and computational mechanism within facial perception that specifically involves the extraction and analysis of individual anatomical components of the face, such as the eyes, nose, and mouth, to enable subsequent recognition and interpretation of facial identity and expression.

1.4K

Publications

89.3K

Citations

3.6K

Authors

1.3K

Institutions

Publications per year

2017–2026

327

Authors

3.6K

  1. VB
    Vicki Bruce

    University of Stirling, United Kingdom

    11 publications · 5.6K citations

    11

    h-index

  2. BR
    Bruno Rossion

    UCLouvain, Belgium

    12 publications · 1.9K citations

    11

    h-index

  3. HL
    Helmut Leder

    University of Vienna, Austria

    10 publications · 1.1K citations

    10

    h-index

  4. PG
    Philippe G. Schyns

    University of Glasgow, United Kingdom

    10 publications · 1K citations

    10

    h-index

  5. JS
    Justine Sergent

    Montreal Neurological Institute and Hospital, Canada

    9 publications · 1.4K citations

    9

    h-index

1–5 of 3.6K

Venues

  1. Perception

    33 publications · 3.9K citations

    25

    h-index

  2. Pattern Recognition

    23 publications · 2.1K citations

    21

    h-index

  3. 18

    h-index

  4. Neuropsychologia

    17 publications · 1.2K citations

    17

    h-index

  5. NeuroImage

    18 publications · 1.2K citations

    17

    h-index

1–5