Experimentation Metrics

Experimentation Metrics is a formal measurement framework that belongs to the category of academic constructs, distinguished by its specific design to quantify the effectiveness, validity, and reliability of experimental designs, procedures, and outcomes within controlled research settings.

25

Publications

2K

Citations

58

Authors

31

Institutions

Publications per year

2017–2026

8

Authors

58

  1. PD
    Pavel Dmitriev

    Microsoft (United States), United States

    3 publications · 147 citations

    3

    h-index

  2. AF
    Aleksander Fabijan

    Malmö University, Sweden

    2 publications · 53 citations

    2

    h-index

  3. KC
    Krishnendu Chakrabarty

    Duke University, United States

    2 publications · 34 citations

    2

    h-index

  4. AL
    Annabeth L. Propst

    Institute of Process Engineering, China

    2 publications · 62 citations

    2

    h-index

  5. MS
    Mohammed Shayan

    New York University, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 58

Venues

  1. Technometrics

    2 publications · 62 citations

    2

    h-index

  2. Journal of the Franklin Institute

    2 publications · 141 citations

    2

    h-index

  3. Journal of Quality Technology

    2 publications · 349 citations

    2

    h-index

  4. Computer Networks

    1 publications · 11 citations

    1

    h-index

  5. Journal of Applied Mechanics

    1 publications · 197 citations

    1

    h-index

1–5