Similarity-based Representation

Similarity-Based Representation is a theoretical framework within scientific representation that accounts for the representational relationship between a model and its target system through the degree and structure of shared similarities, distinguishing it from other frameworks by its reliance on isomorphism, homomorphism, or analogy as the basis for representational adequacy.

222

Publications

10.5K

Citations

659

Authors

318

Institutions

Publications per year

2017–2026

93

Authors

659

  1. RP
    Robert P. W. Duin

    Delft University of Technology, Netherlands

    3 publications · 324 citations

    3

    h-index

  2. JY
    Jinfeng Yi

    Jingdong (China), China

    3 publications · 77 citations

    3

    h-index

  3. LW
    Lingfei Wu

    William & Mary, United States

    3 publications · 77 citations

    3

    h-index

  4. RV
    Roman Vaculín

    IBM (United States), United States

    3 publications · 77 citations

    3

    h-index

  5. LB
    Linda B. Smith

    Indiana University Bloomington, United States

    3 publications · 196 citations

    3

    h-index

1–5 of 659

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 614 citations

    10

    h-index

  2. Synthese

    5 publications · 175 citations

    5

    h-index

  3. Psychological Review

    4 publications · 201 citations

    4

    h-index

  4. Physics in Medicine and Biology

    3 publications · 187 citations

    3

    h-index

  5. Developmental Psychology

    3 publications · 172 citations

    3

    h-index

1–5