Occurrence Data Bias

Occurrence Data Bias is a systematic distortion in the spatial, temporal, or taxonomic representation of fossil occurrences within the paleontological record arising from uneven sampling effort, preservation potential, and geological accessibility, leading to non-random gaps or over-representations that mislead interpretations of past biodiversity and biogeographic patterns.

52

Publications

13K

Citations

453

Authors

272

Institutions

Publications per year

2017–2026

33

Authors

453

  1. BE
    Bruce E. Deagle

    Australian Antarctic Division, Australia

    2 publications · 851 citations

    2

    h-index

  2. RJ
    Robin J. Boyd

    UK Centre for Ecology & Hydrology, United Kingdom

    2 publications · 86 citations

    2

    h-index

  3. DR
    Duccio Rocchini

    Fondazione Edmund Mach, Italy

    2 publications · 416 citations

    2

    h-index

  4. AZ
    Alexander Zizka

    University of Gothenburg, Sweden

    2 publications · 140 citations

    2

    h-index

  5. TR
    Tyler R. Kartzinel

    Brown University, United States

    2 publications · 851 citations

    2

    h-index

1–5 of 453

Venues

  1. Ecography

    8 publications · 4.3K citations

    8

    h-index

  2. Ecology and Evolution

    4 publications · 133 citations

    4

    h-index

  3. Methods in Ecology and Evolution

    3 publications · 183 citations

    3

    h-index

  4. Diversity and Distributions

    3 publications · 1.3K citations

    3

    h-index

  5. Global Ecology and Biogeography

    3 publications · 207 citations

    3

    h-index

1–5