Longitudinal Data Privacy

Longitudinal Data Privacy is a methodological framework within the domain of participant privacy that ensures the sustained protection of individuals' data across extended temporal intervals while enabling valid scientific inference through repeated observations.

16

Publications

863

Citations

106

Authors

61

Institutions

Publications per year

2017–2026

8

Authors

106

  1. SR
    Stella Reiter-Theil

    University Hospital of Basel, Switzerland

    1 publications · 11 citations

    1

    h-index

  2. NV
    Nitesh V. Chawla

    University of Notre Dame, United States

    1 publications · 10 citations

    1

    h-index

  3. JL
    John Lach

    University of Virginia, United States

    1 publications · 23 citations

    1

    h-index

  4. RH
    Robert Hermosillo

    Oregon Health & Science University, United States

    1 publications · 116 citations

    1

    h-index

  5. ET
    Eran Toch

    Tel Aviv University, Israel

    1 publications · 32 citations

    1

    h-index

1–5 of 106

Venues

  1. AIDS

    1 publications · 14 citations

    1

    h-index

  2. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Journal of Medical Ethics

    1 publications · 11 citations

    1

    h-index

  4. Human-Computer Interaction

    1 publications · 32 citations

    1

    h-index

  5. The Lancet Digital Health

    1 publications · 113 citations

    1

    h-index

1–5