Hybrid Performance Modeling

Hybrid Performance Modeling is a performance modeling approach that integrates multiple distinct modeling paradigms—such as analytical, simulation-based, or machine learning methods—within a unified framework to overcome the limitations of individual techniques and achieve more accurate, scalable, or adaptable system performance predictions.

101

Publications

5.2K

Citations

376

Authors

145

Institutions

Publications per year

2017–2026

28

Authors

376

  1. AE
    Albrecht E. Melchinger

    University of Hohenheim, Germany

    13 publications · 842 citations

    13

    h-index

  2. MF
    Matthias Frisch

    University of Hohenheim, Germany

    9 publications · 561 citations

    9

    h-index

  3. TA
    Tobias A. Schrag

    University of Hohenheim, Germany

    7 publications · 610 citations

    7

    h-index

  4. DT
    David Tucker

    National Energy Technology Laboratory, United States

    7 publications · 135 citations

    7

    h-index

  5. HP
    Hans‐Peter Piepho

    University of Hohenheim, Germany

    5 publications · 305 citations

    5

    h-index

1–5 of 376

Venues

  1. Theoretical and Applied Genetics

    18 publications · 1.3K citations

    17

    h-index

  2. Crop Science

    6 publications · 1K citations

    6

    h-index

  3. Euphytica

    6 publications · 158 citations

    6

    h-index

  4. IFAC Proceedings Volumes

    2 publications · 49 citations

    2

    h-index

  5. Aerospace Science and Technology

    AST · 2 publications · 107 citations

    2

    h-index

1–5