Cohen's D

Cohen's D is a standardized measure of effect size that quantifies the difference between two group means in terms of standard deviation units, distinguishing itself from other effect size metrics by its specific focus on mean differences scaled by pooled within-group variability.

518

Publications

38.8K

Citations

2.8K

Authors

1.1K

Institutions

Publications per year

2017–2026

292

Authors

2.8K

  1. NT
    Nickolai Titov

    Macquarie University, Australia

    5 publications · 334 citations

    5

    h-index

  2. NJ
    Neda Jahanshad

    University of Southern California, United States

    4 publications · 578 citations

    4

    h-index

  3. PM
    Paul M. Thompson

    University of California, Los Angeles, United States

    4 publications · 578 citations

    4

    h-index

  4. RR
    Robert Rosenthal

    Harvard University Press, United States

    4 publications · 2.3K citations

    4

    h-index

  5. BF
    Blake F. Dear

    Macquarie University, Australia

    3 publications · 279 citations

    3

    h-index

1–5 of 2.8K

Venues

  1. 15

    h-index

  2. Frontiers in Psychology

    9 publications · 1.5K citations

    9

    h-index

  3. PLoS ONE

    9 publications · 952 citations

    9

    h-index

  4. Scientific Reports

    6 publications · 227 citations

    6

    h-index

  5. Translational Psychiatry

    5 publications · 175 citations

    5

    h-index

1–5