Geospatial Data Anonymization

Geospatial Data Anonymization is a data privacy preservation technique that removes or obfuscates personally identifiable geographic information to prevent the re-identification of individuals while maintaining the spatial utility of the data.

63

Publications

3.1K

Citations

251

Authors

181

Institutions

Publications per year

2017–2026

24

Authors

251

  1. CB
    Cláudio Bettini

    University of Milan, Italy

    4 publications · 192 citations

    4

    h-index

  2. DE
    Dara E. Seidl

    San Diego State University, United States

    4 publications · 169 citations

    4

    h-index

  3. PJ
    Piotr Jankowski

    San Diego State University, United States

    4 publications · 169 citations

    4

    h-index

  4. MK
    Mei‐Po Kwan

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 278 citations

    4

    h-index

  5. SM
    Sergio Mascetti

    University of Milan, Italy

    3 publications · 160 citations

    3

    h-index

1–5 of 251

Venues

  1. International Journal of Health Geographics

    4 publications · 134 citations

    5

    h-index

  2. Computers Environment and Urban Systems

    2 publications · 50 citations

    2

    h-index

  3. Journal of Spatial Information Science

    JOSIS · 2 publications · 44 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 92 citations

    2

    h-index

1–5