Prescriptive Performance Analytics

Prescriptive Performance Analytics is a type of performance analytics that, as a genus, employs advanced analytical techniques to generate actionable recommendations for optimizing future performance, and as its differentia, distinguishes itself from descriptive and predictive approaches by explicitly prescribing decision alternatives based on performance outcomes and constraints.

31

Publications

1.4K

Citations

108

Authors

56

Institutions

Publications per year

2017–2026

25

Authors

108

  1. MG
    Miguel‐Ángel Gómez

    Universidad Politécnica de Madrid, Spain

    3 publications · 386 citations

    3

    h-index

  2. CL
    Carlos Lago‐Peñas

    Universidade de Vigo, Spain

    2 publications · 366 citations

    2

    h-index

  3. SA
    Samet Ayhan

    University of Maryland, College Park, United States

    2 publications · 67 citations

    2

    h-index

  4. JH
    J. H. Powell

    British Geological Survey, United Kingdom

    1 publications · 22 citations

    1

    h-index

  5. SP
    Surya Prakash Singh

    Indian Institute of Technology Delhi, India

    1 publications · 61 citations

    1

    h-index

1–5 of 108

Venues

  1. Performance Improvement Journal

    2 publications · 35 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Science and Medicine in Football

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5