Diversion Detection
Diversion Detection is a nuclear safeguards method designed to identify unauthorized removal or redirection of nuclear materials, particularly spent fuel, from declared inventories or facilities by systematically monitoring and analyzing material accountancy data and physical measurements to detect anomalies indicative of non-compliance with regulatory or international oversight requirements.
14
Publications
242
Citations
91
Authors
28
Institutions
Publications per year
2017–2026
4
14
1–5 of 14
91
3
h-index
2
h-index
The Ohio State University Wexner Medical Center, United States
2 publications · 39 citations
2
h-index
1
h-index
1
h-index
1–5 of 91
28
The University of Kansas Health System
Kansas City, United States
3 h-index
4 publications
60 citations

Idaho National Laboratory
Idaho Falls, United States
2 h-index
14 publications
375 citations
The Ohio State University
Columbus, United States
2 h-index
3 publications
67 citations
The Ohio State University Wexner Medical Center
Columbus, United States
2 h-index
3 publications
67 citations

University of Toronto
Toronto, Canada
2 h-index
3 publications
53 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
15 citations
Invistics (United States)
Peachtree Corners, United States
1 h-index
2 publications
36 citations
TeraRecon (United States)
Foster City, United States
1 h-index
1 publications
17 citations
1–8 of 28
4 publications · 60 citations
4
h-index
1 publications · 14 citations
1
h-index
AJHP · 1 publications · 18 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 15 citations
1
h-index
1–5