Associative Modeling
Associative Modeling is a parametric modeling approach that belongs to the class of computational design methods, distinguished by its preservation of logical dependencies between model parameters, enabling automatic updates to the model geometry in response to changes in parameters or constraints.
165
Publications
7.6K
Citations
415
Authors
207
Institutions
Publications per year
2017–2026
30
Parents
165
1–5 of 165
415
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207

Instituto Politécnico Nacional
Mexico City, Mexico
6 h-index
25 publications
456 citations

The University of Sydney
Sydney, Australia
4 h-index
5 publications
112 citations
Columbia University
New York, United States
3 h-index
7 publications
300 citations
Indiana University Bloomington
Bloomington, United States
3 h-index
6 publications
502 citations
Brown University
Providence, United States
3 h-index
3 publications
349 citations
Indiana University
Bloomington, United States
3 h-index
5 publications
219 citations
Arizona State University
Tempe, United States
3 h-index
4 publications
172 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
4 publications
458 citations
1–8 of 207
8 publications · 359 citations
8
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6 publications · 224 citations
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5 publications · 490 citations
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4 publications · 109 citations
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3 publications · 132 citations
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