Kappa Statistic

Kappa Statistic is a statistical measure of inter-rater agreement for categorical items that adjusts observed agreement for chance concordance, distinguishing it from simple percent agreement by quantifying the degree of agreement above what would be expected by random chance.

7.2K

Publications

589.8K

Citations

36.6K

Authors

7.1K

Institutions

Publications per year

2017–2026

2K

Variants

Cohen's Kappa Statistic

Authors

36.6K

  1. MJ
    Matthijs J. Warrens

    Leiden University, Netherlands

    26 publications · 1.9K citations

    19

    h-index

  2. GL
    G. Livadiotis

    Southwest Research Institute, United States

    21 publications · 1.8K citations

    19

    h-index

  3. DV
    Domenic V. Cicchetti

    Yale University, United States

    13 publications · 6.3K citations

    12

    h-index

  4. MA
    Maria Antonietta D’Agostino

    Hôpital Ambroise-Paré, France

    10 publications · 1.2K citations

    10

    h-index

  5. DJ
    D. J. McComas

    Southwest Research Institute, United States

    10 publications · 1.2K citations

    10

    h-index

1–5 of 36.6K

Venues

  1. PubMed

    Repository · 380 publications · 32.6K citations

    57

    h-index

  2. PLoS ONE

    146 publications · 8.5K citations

    49

    h-index

  3. American Journal of Roentgenology

    AJR · 90 publications · 6.6K citations

    46

    h-index

  4. Radiology

    56 publications · 5.2K citations

    39

    h-index

  5. International Journal of Remote Sensing

    46 publications · 5.2K citations

    32

    h-index

1–5