Privacy Metrics

Privacy Metrics is a systematic framework used to quantify, evaluate, and monitor the effectiveness of privacy controls and compliance within an organization by measuring specific attributes of data processing practices, privacy risks, and governance mechanisms in relation to established privacy principles and regulatory requirements.

141

Publications

7.8K

Citations

443

Authors

217

Institutions

Publications per year

2017–2026

59

Authors

443

  1. IW
    Isabel Wagner

    De Montfort University, United Kingdom

    5 publications · 94 citations

    5

    h-index

  2. RK
    Raj Kumar Nepali

    Dakota State University, United States

    4 publications · 88 citations

    4

    h-index

  3. LF
    Lorrie Faith Cranor

    Carnegie Mellon University, United States

    3 publications · 355 citations

    3

    h-index

  4. RC
    Rafael Cepeda

    Toshiba (United Kingdom), United Kingdom

    3 publications · 524 citations

    3

    h-index

  5. YW
    Yong Wang

    Xidian University, China

    3 publications · 57 citations

    3

    h-index

1–5 of 443

Venues

  1. IEEE Access

    6 publications · 281 citations

    6

    h-index

  2. Information Sciences

    2 publications · 65 citations

    2

    h-index

  3. IEEE Transactions on Smart Grid

    2 publications · 122 citations

    2

    h-index

  4. Future Generation Computer Systems

    FGCS · 2 publications · 86 citations

    2

    h-index

  5. 2

    h-index

1–5