Visual Animal Identification

Visual Animal Identification is a methodological framework within animal identification that employs visual data, such as morphological features or biometric markers, to uniquely recognize and classify individual animals or species based on characteristic patterns discernible through imaging technologies.

168

Publications

8.4K

Citations

656

Authors

294

Institutions

Publications per year

2017–2026

73

Authors

656

  1. TB
    Tilo Burghardt

    University of Bristol, United Kingdom

    6 publications · 422 citations

    7

    h-index

  2. DI
    Daniel I. Rubenstein

    Princeton University, United States

    3 publications · 236 citations

    3

    h-index

  3. BL
    Bertrand L. Deputte

    École Nationale Vétérinaire d'Alfort, France

    3 publications · 158 citations

    3

    h-index

  4. AN
    Anh‐Tu Nguyen

    Centre National de la Recherche Scientifique, France

    3 publications · 1.2K citations

    3

    h-index

  5. NC
    Neill Campbell

    University of Bristol, United Kingdom

    3 publications · 254 citations

    3

    h-index

1–5 of 656

Venues

  1. Computers and Electronics in Agriculture

    8 publications · 488 citations

    8

    h-index

  2. Ecological Informatics

    7 publications · 230 citations

    8

    h-index

  3. PLoS ONE

    6 publications · 256 citations

    6

    h-index

  4. Animal Cognition

    5 publications · 205 citations

    5

    h-index

  5. Wildlife Society Bulletin

    4 publications · 95 citations

    4

    h-index

1–5