Forensic Data Analysis

Forensic Data Analysis is a methodological approach within information analysis for safeguards that, as a forensic discipline, systematically examines digital or electronic data to identify, preserve, and interpret evidence of unauthorized or anomalous activities, thereby distinguishing itself through its legally defensible, audit-ready, and traceable analytical procedures.

864

Publications

32.5K

Citations

2.2K

Authors

869

Institutions

Publications per year

2017–2026

325

Authors

2.2K

  1. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    14 publications · 1K citations

    14

    h-index

  2. IB
    Ibrahim Baggili

    University of New Haven, United States

    13 publications · 817 citations

    12

    h-index

  3. ÜK
    Ümit Karabiyik

    Purdue University West Lafayette, United States

    9 publications · 206 citations

    10

    h-index

  4. OR
    Olivier Ribaux

    University of Lausanne, Switzerland

    10 publications · 616 citations

    10

    h-index

  5. DQ
    Darren Quick

    University of South Australia, Australia

    8 publications · 766 citations

    8

    h-index

1–5 of 2.2K

Venues

  1. Digital Investigation

    75 publications · 4.7K citations

    38

    h-index

  2. Forensic Science International

    46 publications · 2K citations

    25

    h-index

  3. Journal of Forensic Sciences

    JOFS · 19 publications · 715 citations

    16

    h-index

  4. 13

    h-index

  5. Forensic Science International Genetics

    FSI · 13 publications · 505 citations

    12

    h-index

1–5