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
Parents
343
Latent semantic models for collaborative filtering
Thomas Hofmann · ACM Transactions on Information Systems · 2004 · 1.4K citations
A potential model representation of two-nucleon data below 315 MeV
Tetsuo Hamada, Ian Johnston · Nuclear Physics · 1962 · 1.2K citations
How Models Are Used to Represent Reality
Ronald N. Giere · Philosophy of Science · 2004 · 789 citations
1–5 of 343
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486

Centre National de la Recherche Scientifique
Paris, France
10 h-index
28 publications
1.1K citations
University of Washington
Seattle, United States
8 h-index
13 publications
6.6K citations
California Institute of Technology
Pasadena, United States
6 h-index
15 publications
747 citations

The University of Queensland
Brisbane, Australia
6 h-index
12 publications
663 citations

Newcastle University
Newcastle upon Tyne, United Kingdom
5 h-index
5 publications
207 citations
Tsinghua University
Beijing, China
5 h-index
9 publications
1.3K citations
Heidelberg University
Heidelberg, Germany
5 h-index
5 publications
207 citations

Queensland University of Technology
Brisbane, Australia
4 h-index
13 publications
655 citations
1–8 of 486
21 publications · 430 citations
13
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7 publications · 1.8K citations
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Repository · 4 publications · 60 citations
4
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3 publications · 113 citations
3
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SoSyM · 2 publications · 91 citations
2
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1–5