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
Parents
1.1K
ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS
J. Andrew Royle, James D. Nichols · Ecology · 2003 · 1.4K citations
Life Sciences, Biology, Ecology +15
Rumors in a Network: Who's the Culprit?
Devavrat Shah, Tauhid Zaman · IEEE Transactions on Information Theory · 2011 · 698 citations
1–5 of 1.1K
3.3K
22
h-index
17
h-index
16
h-index
15
h-index
14
h-index
1–5 of 3.3K
1.3K
United States Geological Survey
Reston, United States
43 h-index
192 publications
19.1K citations
North Carolina State University
Raleigh, United States
22 h-index
75 publications
10.4K citations
Colorado State University
Fort Collins, United States
19 h-index
53 publications
2.6K citations
United States Fish and Wildlife Service
Washington, United States
18 h-index
40 publications
4K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
85 publications
3.4K citations

Swiss Ornithological Institute
Sempach, Switzerland
15 h-index
27 publications
2.1K citations
University of Florida
Gainesville, United States
14 h-index
20 publications
960 citations

Xidian University
Xi'an, China
13 h-index
55 publications
1.7K citations
1–8 of 1.3K
50 publications · 2.6K citations
28
h-index
36 publications · 2K citations
27
h-index
42 publications · 2.1K citations
23
h-index
23 publications · 4.4K citations
21
h-index
21 publications · 1.5K citations
20
h-index
1–5