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

Authors

91

  1. BO
    Brian O’Neal

    The University of Kansas Health System, United States

    3 publications · 49 citations

    3

    h-index

  2. BA
    Baher Abdulhai

    University of Toronto, Canada

    2 publications · 36 citations

    2

    h-index

  3. JS
    Jerry Siegel

    The Ohio State University Wexner Medical Center, United States

    2 publications · 39 citations

    2

    h-index

  4. BL
    Bernhard Ludewigt

    Lawrence Berkeley National Laboratory, United States

    1 publications · 15 citations

    1

    h-index

  5. AA
    A. A. Solodov

    V.E. Zuev Institute of Atmospheric Optics, Russia

    1 publications · 15 citations

    1

    h-index

1–5 of 91

Venues

  1. Hospital Pharmacy

    4 publications · 60 citations

    4

    h-index

  2. 1

    h-index

  3. American Journal of Health-System Pharmacy

    AJHP · 1 publications · 18 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 17 citations

    1

    h-index

  5. IET Intelligent Transport Systems

    1 publications · 15 citations

    1

    h-index

1–5