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

Authors

415

  1. CY
    Cornelio Yáñez-Márquéz

    Instituto Politécnico Nacional, Mexico

    6 publications · 119 citations

    6

    h-index

  2. IL
    Itzamá López-Yáñez

    Instituto Politécnico Nacional, Mexico

    5 publications · 103 citations

    5

    h-index

  3. OC
    Oscar Camacho-Nieto

    Instituto Politécnico Nacional, Mexico

    4 publications · 69 citations

    4

    h-index

  4. CY
    Chen Yu

    Indiana University Bloomington, United States

    4 publications · 328 citations

    4

    h-index

  5. JA
    Justin A. Harris

    The University of Sydney, Australia

    4 publications · 102 citations

    4

    h-index

1–5 of 415

Venues

  1. 8

    h-index

  2. 6

    h-index

  3. Psychological Review

    5 publications · 490 citations

    5

    h-index

  4. Frontiers in Psychology

    4 publications · 109 citations

    4

    h-index

  5. Current Directions in Psychological Science

    3 publications · 132 citations

    3

    h-index

1–5