Biodiversity Data Analysis

Biodiversity Data Analysis is a scientific methodology that specifically involves the systematic quantification, modeling, and interpretation of species distribution, abundance, and ecological relationships within natural environments to assess patterns and drivers of biological diversity.

475

Publications

46.8K

Citations

2.7K

Authors

1.1K

Institutions

Publications per year

2017–2026

221

Authors

2.7K

  1. RG
    Robert Guralnick

    Florida Museum of Natural History, United States

    21 publications · 3.5K citations

    17

    h-index

  2. AT
    A. Townsend Peterson

    University of Kansas, United States

    16 publications · 3K citations

    16

    h-index

  3. VC
    Vishwas Chavan

    Global Biodiversity Information Facility, Denmark

    14 publications · 510 citations

    14

    h-index

  4. LP
    Lyubomir Penev

    Pensoft Publishers (Bulgaria), Bulgaria

    15 publications · 656 citations

    13

    h-index

  5. JW
    John Wieczorek

    University of California, Berkeley, United States

    13 publications · 2.2K citations

    12

    h-index

1–5 of 2.7K

Venues

  1. Biodiversity Data Journal

    BDJ · 21 publications · 1.1K citations

    17

    h-index

  2. PLoS ONE

    14 publications · 2.6K citations

    14

    h-index

  3. Biodiversity Informatics

    12 publications · 685 citations

    12

    h-index

  4. Methods in Ecology and Evolution

    13 publications · 6.2K citations

    12

    h-index

  5. Research Ideas and Outcomes

    RIO · 13 publications · 525 citations

    11

    h-index

1–5