Border Crossing Detection

Border Crossing Detection is a computational method designed to identify and localize instances of unauthorized or unrecorded movements of individuals or objects across geopolitical boundaries, distinguishing it from broader surveillance systems by its specific focus on cross-border transit events.

30

Publications

1.2K

Citations

86

Authors

38

Institutions

Publications per year

2017–2026

7

Authors

86

  1. MR
    Michael R. Pinsky

    University of Pittsburgh, United States

    3 publications · 207 citations

    3

    h-index

  2. WA
    William A. Mandarino

    University of Pittsburgh, United States

    3 publications · 207 citations

    3

    h-index

  3. JG
    John Gorcsan

    University of Pittsburgh, United States

    3 publications · 193 citations

    3

    h-index

  4. TA
    Thomas A. Gasior

    University of Pittsburgh, United States

    2 publications · 106 citations

    2

    h-index

  5. AL
    A. Lupilov

    International Atomic Energy Agency, Austria

    2 publications · 33 citations

    2

    h-index

1–5 of 86

Venues

  1. American Heart Journal

    AHJ · 3 publications · 78 citations

    3

    h-index

  2. Security Journal

    1 publications · 21 citations

    1

    h-index

  3. Applied Sciences

    1 publications · 15 citations

    1

    h-index

  4. Safety Science

    1 publications · 64 citations

    1

    h-index

  5. Naval Research Logistics (NRL)

    1 publications · 41 citations

    1

    h-index

1–5