Identity Matching Algorithms

Identity Matching Algorithms is a computational method designed to establish correspondence between antemortem records and postmortem data by quantifying similarities and minimizing false associations through systematic pattern recognition and decision rules.

26

Publications

1.1K

Citations

90

Authors

43

Institutions

Publications per year

2017–2026

5

Authors

90

  1. WJ
    William J. McIlvane

    Eunice Kennedy Shriver Center, United States

    3 publications · 142 citations

    3

    h-index

  2. WV
    William V. Dube

    Eunice Kennedy Shriver Center, United States

    3 publications · 117 citations

    3

    h-index

  3. GA
    G. Alan Wang

    Virginia Tech, United States

    2 publications · 54 citations

    2

    h-index

  4. MG
    Mathieu Goeminne

    University of Mons, Belgium

    2 publications · 98 citations

    2

    h-index

  5. TM
    Tom Mens

    University of Mons, Belgium

    2 publications · 98 citations

    2

    h-index

1–5 of 90

Venues

  1. Forensic Science International

    2 publications · 49 citations

    2

    h-index

  2. Journal of Mammalogy

    JM · 2 publications · 238 citations

    2

    h-index

  3. The Psychological Record

    2 publications · 121 citations

    2

    h-index

  4. International Journal of Computer Vision

    1 publications · 22 citations

    1

    h-index

  5. Journal of Behavioral Education

    1 publications · 21 citations

    1

    h-index

1–5