Within-subject Correlation

Within-Subject Correlation is a dependence structure in longitudinal data analysis denoting the correlation among multiple observations taken on the same subject over time, distinguishing it from between-subject associations by capturing the intrinsic variability within individual trajectories.

1K

Publications

78.8K

Citations

4.1K

Authors

1.4K

Institutions

Publications per year

2017–2026

277

Authors

4.1K

  1. LC
    Lucas C. Parra

    City College of New York, United States

    8 publications · 757 citations

    8

    h-index

  2. MK
    Martina Kanning

    University of Stuttgart, Germany

    6 publications · 427 citations

    7

    h-index

  3. GF
    Genevieve F. Dunton

    University of Southern California, United States

    6 publications · 162 citations

    7

    h-index

  4. JD
    Jacek Dmochowski

    City College of New York, United States

    6 publications · 540 citations

    6

    h-index

  5. GC
    Gang Chen

    National Institute of Mental Health, United States

    6 publications · 504 citations

    6

    h-index

1–5 of 4.1K

Venues

  1. NeuroImage

    32 publications · 5.1K citations

    27

    h-index

  2. PLoS ONE

    33 publications · 2.1K citations

    21

    h-index

  3. PubMed

    Repository · 25 publications · 912 citations

    17

    h-index

  4. Biometrics

    18 publications · 2.2K citations

    16

    h-index

  5. Scientific Reports

    13 publications · 581 citations

    13

    h-index

1–5