Prediction Models

Prediction Model is a computational framework within the domain of predictive analytics that systematically integrates input variables and algorithmic logic to forecast the likelihood or magnitude of specific phenomena, such as asphaltene deposition in petroleum systems or clinical outcomes in patient care, by distinguishing patterns derived from empirical data.

8.3K

Publications

477.7K

Citations

38K

Authors

7.3K

Institutions

Publications per year

2017–2026

5.2K

Authors

38K

  1. EW
    Ewout W. Steyerberg

    Erasmus MC, Netherlands

    67 publications · 17.4K citations

    43

    h-index

  2. KG
    Karel G.M. Moons

    University Medical Center Utrecht, Netherlands

    51 publications · 25.1K citations

    42

    h-index

  3. GS
    Gary S. Collins

    University of Oxford, United Kingdom

    43 publications · 25.3K citations

    37

    h-index

  4. BV
    Ben Van Calster

    KU Leuven, Belgium

    39 publications · 10.7K citations

    34

    h-index

  5. RD
    Richard D Riley

    Keele University, United Kingdom

    36 publications · 14.1K citations

    32

    h-index

1–5 of 38K

Venues

  1. PLoS ONE

    170 publications · 11.2K citations

    54

    h-index

  2. Scientific Reports

    150 publications · 7.7K citations

    47

    h-index

  3. IEEE Access

    116 publications · 8.1K citations

    45

    h-index

  4. Applied Sciences

    81 publications · 3.2K citations

    31

    h-index

  5. arXiv (Cornell University)

    Repository · 64 publications · 4.1K citations

    29

    h-index

1–5