Probabilistic Consequence Analysis
Probabilistic Consequence Analysis is a methodological framework within consequence analysis that quantifies the likelihood and impact of potential outcomes under uncertainty by integrating probabilistic models to distinguish it from deterministic approaches.
24
Publications
825
Citations
80
Authors
44
Institutions
Publications per year
2017–2026
11
Parents
24
1–5 of 24
80
1
h-index
1
h-index
1
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1
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Qom University of Medical Science and Health Services, Iran
1 publications · 43 citations
1
h-index
1–5 of 80
44

University of Windsor
Windsor, Canada
1 h-index
1 publications
64 citations
China University of Geosciences
Wuhan, China
1 h-index
1 publications
57 citations
Lamar University
Beaumont, United States
1 h-index
3 publications
57 citations

Cornell University
Ithaca, United States
1 h-index
3 publications
39 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
1 h-index
2 publications
158 citations
Istituto Universitario di Studi Superiori di Pavia
Pavia, Italy
1 h-index
2 publications
64 citations

Cochin University of Science and Technology
Ernakulam, India
1 h-index
2 publications
42 citations

University of British Columbia
Vancouver, Canada
1 h-index
2 publications
128 citations
1–8 of 44
4 publications · 68 citations
4
h-index
2 publications · 120 citations
2
h-index
1 publications · 18 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 57 citations
1
h-index
1–5