A/b Testing Design

A/B Testing Design is a methodological framework within experimentation platforms that systematically assigns subjects to one of two variants (A or B) to evaluate the differential impact of specific interventions or changes under controlled conditions.

20

Publications

1K

Citations

61

Authors

33

Institutions

Publications per year

2017–2026

14

Authors

61

  1. MG
    Matthias Galster

    University of Canterbury, New Zealand

    2 publications · 82 citations

    2

    h-index

  2. LV
    Lukas Vermeer

    Microsoft (United States), United States

    2 publications · 38 citations

    2

    h-index

  3. DW
    Danny Weyns

    KU Leuven, Belgium

    2 publications · 82 citations

    2

    h-index

  4. YX
    Ya Xu

    LinkedIn (United States), United States

    2 publications · 336 citations

    2

    h-index

  5. RK
    Ron Kohavi

    Microsoft (United States), United States

    2 publications · 38 citations

    2

    h-index

1–5 of 61

Venues

  1. Journal of Systems and Software

    JSS · 1 publications · 68 citations

    1

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 91 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 14 citations

    1

    h-index

1–5