Application Data Analysis

Application Data Analysis is a forensic methodology that involves the systematic examination and interpretation of data generated, stored, or manipulated by mobile applications to identify, reconstruct, and validate user activities, behavioral patterns, and evidentiary artifacts within the context of digital investigations.

80

Publications

4.6K

Citations

259

Authors

142

Institutions

Publications per year

2017–2026

31

Authors

259

  1. BP
    Barton P. Miller

    University of Wisconsin–Madison, United States

    2 publications · 50 citations

    2

    h-index

  2. DH
    Dong H. Ahn

    Lawrence Livermore National Laboratory, United States

    2 publications · 50 citations

    2

    h-index

  3. SB
    Steven Berry

    Yale University, United States

    2 publications · 67 citations

    2

    h-index

  4. KS
    Karsten Schwan

    Georgia Institute of Technology, United States

    2 publications · 98 citations

    2

    h-index

  5. GL
    Gregory L. Lee

    Lawrence Livermore National Laboratory, United States

    2 publications · 50 citations

    2

    h-index

1–5 of 259

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 67 citations

    2

    h-index

  2. Digital Investigation

    2 publications · 87 citations

    2

    h-index

  3. JAMA

    2 publications · 261 citations

    2

    h-index

  4. Academic Medicine

    2 publications · 57 citations

    2

    h-index

  5. BMJ Open

    1 publications · 32 citations

    1

    h-index

1–5