Rank Transformation

Rank Transformation is a feature transformation technique that replaces original data values with their corresponding ranks within an ordered sequence, preserving ordinal relationships while mitigating the influence of distributional assumptions and outliers.

130

Publications

15.7K

Citations

208

Authors

146

Institutions

Publications per year

2017–2026

19

Variants

Rank-based Data TransformationRank-based Transformation

Authors

208

  1. RL
    Ronald L. Iman

    Sandia National Laboratories, United States

    10 publications · 6.4K citations

    10

    h-index

  2. WJ
    W. J. Conover

    Texas Tech University, United States

    10 publications · 6.4K citations

    10

    h-index

  3. DW
    Donald W. Zimmerman

    Carleton University, Canada

    7 publications · 806 citations

    7

    h-index

  4. MG
    Michael G. Akritas

    Pennsylvania State University, United States

    5 publications · 388 citations

    5

    h-index

  5. BD
    Bruno D. Zumbo

    University of British Columbia, Canada

    4 publications · 726 citations

    4

    h-index

1–5 of 208

Venues

  1. Journal of the American Statistical Association

    12 publications · 806 citations

    12

    h-index

  2. Statistics in Medicine

    6 publications · 448 citations

    6

    h-index

  3. 5

    h-index

  4. The American Statistician

    4 publications · 5.1K citations

    4

    h-index

  5. Biometrika

    4 publications · 232 citations

    4

    h-index

1–5