Duplicate Study Detection

Duplicate Study Detection is a methodological process within systematic review methodology that identifies and removes redundant study reports arising from multiple publications of the same primary research to ensure synthetic accuracy and prevent biased effect size estimation.

59

Publications

7K

Citations

258

Authors

152

Institutions

Publications per year

2017–2026

23

Authors

258

  1. XQ
    Xingshun Qi

    General Hospital of Shenyang Military Region, China

    3 publications · 142 citations

    3

    h-index

  2. CL
    Carole Lunny

    University of British Columbia, Canada

    2 publications · 285 citations

    2

    h-index

  3. DG
    Dean Giustini

    University of British Columbia, Canada

    2 publications · 2K citations

    2

    h-index

  4. GR
    Gabriel Rada

    Pontificia Universidad Católica de Chile, Chile

    2 publications · 123 citations

    2

    h-index

  5. TB
    Tanja Bekhuis

    University of Pittsburgh, United States

    2 publications · 2K citations

    2

    h-index

1–5 of 258

Venues

  1. Food Additives & Contaminants

    3 publications · 108 citations

    3

    h-index

  2. Systematic Reviews

    3 publications · 389 citations

    3

    h-index

  3. Research Synthesis Methods

    3 publications · 314 citations

    3

    h-index

  4. 3

    h-index

  5. Science and Engineering Ethics

    2 publications · 43 citations

    2

    h-index

1–5