Open-source Evidence Verification

Open-Source Evidence Verification is a methodological framework within cross-border evidence gathering that systematically authenticates, contextualizes, and assesses the reliability of information derived from publicly accessible digital sources to ensure its admissibility and probative value in legal or investigative proceedings.

5

Publications

208

Citations

20

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

20

  1. RH
    Rakibul Hasan

    Indiana University Bloomington, United States

    1 publications · 81 citations

    1

    h-index

  2. SR
    Steve Ramos

    California Polytechnic State University, United States

    1 publications · 48 citations

    1

    h-index

  3. BS
    Benjamin S. Glicksberg

    Icahn School of Medicine at Mount Sinai, United States

    1 publications · 35 citations

    1

    h-index

  4. MF
    Mario Fritz

    Max Planck Institute for Informatics, Germany

    1 publications · 81 citations

    1

    h-index

  5. LP
    Lucas P. Butler

    University of Maryland, College Park, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 20

Venues

  1. Cognitive Development

    1 publications · 25 citations

    1

    h-index

  2. Computers in Biology and Medicine

    1 publications · 35 citations

    1

    h-index

  3. 1

    h-index

  4. Communications of the ACM

    1 publications · 19 citations

    1

    h-index

1–4