Symptom Variability Analysis

Symptom Variability Analysis is a methodological framework within symptom science that systematically characterizes the temporal, contextual, and intensity-related fluctuations of clinical symptoms to distinguish dynamic symptom patterns from static symptom profiles.

65

Publications

3K

Citations

352

Authors

185

Institutions

Publications per year

2017–2026

26

Authors

352

  1. DB
    David B. King

    Simon Fraser University, Canada

    2 publications · 30 citations

    2

    h-index

  2. HP
    Henry P. Parkman

    Temple University, United States

    2 publications · 143 citations

    2

    h-index

  3. NO
    Norm O’Rourke

    Simon Fraser University, Canada

    2 publications · 30 citations

    2

    h-index

  4. RL
    R. Lindsay

    University of Manchester, United Kingdom

    2 publications · 103 citations

    2

    h-index

  5. EP
    Emma Parry

    Keele University, United Kingdom

    2 publications · 69 citations

    2

    h-index

1–5 of 352

Venues

  1. Journal of Consulting and Clinical Psychology

    4 publications · 161 citations

    4

    h-index

  2. American Journal of Psychiatry

    3 publications · 203 citations

    3

    h-index

  3. Fatigue Biomedicine Health & Behavior

    2 publications · 29 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 76 citations

    2

    h-index

  5. Headache The Journal of Head and Face Pain

    1 publications · 40 citations

    1

    h-index

1–5