Probability Of Detection Modeling

Probability of Detection Modeling is a formal analytical framework used in search operations to quantify the likelihood of locating a target within a defined area, distinguished by its integration of sensor performance, environmental conditions, and search effort into probabilistic spatial predictions.

1.1K

Publications

56.6K

Citations

3.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

327

Variants

Pod Modeling

Authors

3.3K

  1. JD
    James D. Nichols

    United States Geological Survey, United States

    24 publications · 5.5K citations

    22

    h-index

  2. JA
    J. Andrew Royle

    United States Geological Survey, United States

    19 publications · 4.7K citations

    17

    h-index

  3. KH
    Kenneth H. Pollock

    North Carolina State University, United States

    19 publications · 3.1K citations

    16

    h-index

  4. JE
    James E. Hines

    United States Geological Survey, United States

    15 publications · 2.6K citations

    15

    h-index

  5. JR
    John R. Sauer

    Oklahoma State University, United States

    14 publications · 3.2K citations

    14

    h-index

1–5 of 3.3K

Venues

  1. Journal of Wildlife Management

    50 publications · 2.6K citations

    28

    h-index

  2. PLoS ONE

    36 publications · 2K citations

    27

    h-index

  3. 23

    h-index

  4. Ecology

    23 publications · 4.4K citations

    21

    h-index

  5. Methods in Ecology and Evolution

    21 publications · 1.5K citations

    20

    h-index

1–5