Model-based Representation

Model-Based Representation is a scientific representation that employs a structured, abstract model as the mediating artifact to represent target systems or phenomena, distinguished by its reliance on formal or computational models to facilitate interpretation, prediction, or explanation within scientific practice.

343

Publications

23.7K

Citations

1K

Authors

486

Institutions

Publications per year

2017–2026

75

Authors

1K

  1. MH
    Michael Hucka

    California Institute of Technology, United States

    7 publications · 414 citations

    6

    h-index

  2. SK
    Sarah Keating

    European Bioinformatics Institute, United Kingdom

    6 publications · 384 citations

    6

    h-index

  3. FB
    Frank Bergmann

    Heidelberg University, Germany

    5 publications · 207 citations

    5

    h-index

  4. DJ
    Darren J. Wilkinson

    Newcastle University, United Kingdom

    5 publications · 207 citations

    5

    h-index

  5. SH
    Stefan Hoops

    Virginia Tech, United States

    4 publications · 164 citations

    4

    h-index

1–5 of 1K

Venues

  1. Computer-Aided Design and Applications

    21 publications · 430 citations

    13

    h-index

  2. Philosophy of Science

    7 publications · 1.8K citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 60 citations

    4

    h-index

  4. Nature Precedings

    3 publications · 113 citations

    3

    h-index

  5. Software & Systems Modeling

    SoSyM · 2 publications · 91 citations

    2

    h-index

1–5