Anonymized Data Collection

Anonymized Data Collection is a method of gathering information in which personally identifiable details are permanently removed or irreversibly altered to prevent the identification of individuals, thereby ensuring privacy while enabling data analysis.

289

Publications

13.8K

Citations

1.4K

Authors

675

Institutions

Publications per year

2017–2026

158

Authors

1.4K

  1. CR
    Carlo Ratti

    Massachusetts Institute of Technology, United States

    4 publications · 245 citations

    4

    h-index

  2. JP
    Jeffrey Pang

    AT&T (United States), United States

    4 publications · 711 citations

    4

    h-index

  3. MM
    Marco Mellia

    Politecnico di Torino, Italy

    3 publications · 114 citations

    3

    h-index

  4. NY
    Naohiro Yonemoto

    Institute for Health Metrics and Evaluation, United States

    3 publications · 48 citations

    3

    h-index

  5. CM
    Catherine Marsh

    University of Cambridge, United Kingdom

    3 publications · 114 citations

    3

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 186 citations

    8

    h-index

  2. PLoS ONE

    7 publications · 449 citations

    7

    h-index

  3. SSRN Electronic Journal

    Repository · 7 publications · 141 citations

    7

    h-index

  4. 7

    h-index

  5. PubMed

    Repository · 3 publications · 71 citations

    3

    h-index

1–5