Rank-order Correlation

Rank-Order Correlation is a statistical measure that quantifies the degree of association between two variables based on the concordance of their ranked positions rather than their raw values, typically using methods such as Spearman’s rho or Kendall’s tau to assess monotonic relationships.

762

Publications

74.5K

Citations

2.1K

Authors

863

Institutions

Publications per year

2017–2026

124

Variants

Rank-order Correlation Coefficient

Authors

2.1K

  1. MG
    M. G. Kendall

    London School of Economics and Political Science, United Kingdom

    7 publications · 6.3K citations

    7

    h-index

  2. MS
    Markus Schedl

    Johannes Kepler University of Linz, Austria

    5 publications · 133 citations

    5

    h-index

  3. LA
    Larry A. Donoso

    Wills Eye Hospital, United States

    4 publications · 113 citations

    4

    h-index

  4. RH
    Robert H. Somers

    Institute for Social Research, Croatia

    4 publications · 91 citations

    4

    h-index

  5. JM
    Jeremy M. G. Taylor

    University of Michigan, United States

    3 publications · 259 citations

    3

    h-index

1–5 of 2.1K

Venues

  1. Biometrika

    30 publications · 9.7K citations

    23

    h-index

  2. Journal of the American Statistical Association

    19 publications · 15.8K citations

    16

    h-index

  3. PubMed

    Repository · 22 publications · 647 citations

    14

    h-index

  4. Journal of Multivariate Analysis

    6 publications · 435 citations

    6

    h-index

  5. Perceptual and Motor Skills

    6 publications · 139 citations

    6

    h-index

1–5