Data Anonymization

Data Anonymization is a data protection technique that belongs to the category of privacy-preserving methods, distinguished by its purpose of irreversibly removing or altering personally identifiable information to prevent the identification of individuals in health information systems.

5.1K

Publications

352.5K

Citations

11.4K

Authors

2.7K

Institutions

Publications per year

2017–2026

2.3K

Authors

11.4K

  1. BM
    Bradley Malin

    Vanderbilt University, United States

    49 publications · 3.9K citations

    33

    h-index

  2. XX
    Xiaokui Xiao

    Nanyang Technological University, Singapore

    37 publications · 5.4K citations

    31

    h-index

  3. LX
    Li Xiong

    Emory University, United States

    41 publications · 2.4K citations

    27

    h-index

  4. EB
    Elisa Bertino

    Purdue University West Lafayette, United States

    36 publications · 3K citations

    27

    h-index

  5. BC
    Benjamin C. M. Fung

    McGill University, Canada

    39 publications · 4K citations

    26

    h-index

1–5 of 11.4K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 67 publications · 7.7K citations

    47

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 85 publications · 10.4K citations

    45

    h-index

  3. arXiv (Cornell University)

    Repository · 195 publications · 7.7K citations

    42

    h-index

  4. IEEE Access

    108 publications · 5K citations

    38

    h-index

  5. 35

    h-index

1–5