Mean Performance Analysis

Mean Performance Analysis is a performance evaluation method that quantifies the central tendency of system or model outputs under hybrid conditions by computing the arithmetic mean across multiple metrics or datasets to assess overall effectiveness.

273

Publications

14.2K

Citations

777

Authors

379

Institutions

Publications per year

2017–2026

47

Authors

777

  1. LJ
    L. Jeff Hong

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 263 citations

    4

    h-index

  2. JL
    J L Jinks

    University of Birmingham, United Kingdom

    4 publications · 152 citations

    4

    h-index

  3. WG
    Will G. Hopkins

    Auckland University of Technology, New Zealand

    4 publications · 359 citations

    4

    h-index

  4. SE
    Stephen E. Chick

    INSEAD, France

    3 publications · 246 citations

    3

    h-index

  5. AE
    Adrian E. Conway

    University of Ottawa, Canada

    3 publications · 142 citations

    3

    h-index

1–5 of 777

Venues

  1. PubMed

    Repository · 10 publications · 660 citations

    10

    h-index

  2. Crop Science

    9 publications · 652 citations

    9

    h-index

  3. Perceptual and Motor Skills

    5 publications · 105 citations

    5

    h-index

  4. Heredity

    4 publications · 152 citations

    4

    h-index

  5. Journal of Applied Psychology

    4 publications · 239 citations

    4

    h-index

1–5