Mobile Data Acquisition

Mobile Data Acquisition is a forensic process that belongs to the class of data recovery methods, specifically distinguished by its focus on the systematic extraction of digital evidence from mobile devices in a forensically sound manner.

194

Publications

7K

Citations

651

Authors

260

Institutions

Publications per year

2017–2026

49

Authors

651

  1. IB
    Ibrahim Baggili

    University of New Haven, United States

    4 publications · 353 citations

    4

    h-index

  2. DG
    Daniel Gática-Pérez

    Idiap Research Institute, Switzerland

    4 publications · 612 citations

    4

    h-index

  3. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    4 publications · 192 citations

    4

    h-index

  4. GM
    Gianluigi Me

    University of Rome Tor Vergata, Italy

    4 publications · 140 citations

    4

    h-index

  5. JL
    J. Laurila

    TU Wien, Austria

    3 publications · 574 citations

    3

    h-index

1–5 of 651

Venues

  1. Digital Investigation

    15 publications · 760 citations

    14

    h-index

  2. Australasian Journal of Paramedicine

    5 publications · 74 citations

    5

    h-index

  3. Sensors

    4 publications · 110 citations

    4

    h-index

  4. 2

    h-index

  5. IEEE Access

    2 publications · 64 citations

    2

    h-index

1–5