Permutations

Permutations is a data anonymization technique that belongs to the class of reorganization-based methods, distinguished by its systematic rearrangement of data elements within a dataset to obscure original associations while preserving certain statistical properties.

1.5K

Publications

78.3K

Citations

2.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

247

Authors

2.9K

  1. TM
    Toufik Mansour

    University of Haifa, Israel

    15 publications · 386 citations

    13

    h-index

  2. MB
    Miklós Bóna

    University of Florida, United States

    13 publications · 606 citations

    12

    h-index

  3. SE
    Sergi Elizalde

    Dartmouth College, United States

    10 publications · 243 citations

    10

    h-index

  4. PW
    Paul W. Mielke

    Colorado State University, United States

    8 publications · 1K citations

    8

    h-index

  5. MA
    Michael Albert

    University of Otago, New Zealand

    7 publications · 409 citations

    7

    h-index

1–5 of 2.9K

Venues

  1. The Electronic Journal of Combinatorics

    46 publications · 1.5K citations

    22

    h-index

  2. arXiv (Cornell University)

    Repository · 37 publications · 1.1K citations

    19

    h-index

  3. IEEE Transactions on Computers

    24 publications · 1.1K citations

    18

    h-index

  4. IEEE Transactions on Information Theory

    30 publications · 1.3K citations

    18

    h-index

  5. Discrete Mathematics

    29 publications · 974 citations

    17

    h-index

1–5