Shape Optimization

Shape Optimization is a subfield of design optimization that formulates and solves problems in which the geometry of a physical domain or artifact—typically its boundary or surface shape—is systematically varied to extremize a prescribed performance objective subject to governing equations and design constraints.

7.1K

Publications

337.5K

Citations

14.6K

Authors

2.8K

Institutions

Publications per year

2017–2026

2.3K

Authors

14.6K

  1. JR
    Joaquim R. R. A. Martins

    University of Michigan, United States

    65 publications · 4.3K citations

    36

    h-index

  2. MY
    Michael Yu Wang

    Chinese University of Hong Kong, Hong Kong SAR China

    41 publications · 7.2K citations

    31

    h-index

  3. YM
    Yi Min Xie

    RMIT University, Australia

    46 publications · 2.8K citations

    26

    h-index

  4. KK
    Kwang‐Yong Kim

    Inha University, South Korea

    34 publications · 1.7K citations

    25

    h-index

  5. OS
    Ole Sigmund

    Technical University of Denmark, Denmark

    29 publications · 7.6K citations

    24

    h-index

1–5 of 14.6K

Venues

  1. 80

    h-index

  2. Structural and Multidisciplinary Optimization

    472 publications · 36.1K citations

    77

    h-index

  3. ACM Transactions on Graphics

    TOG · 123 publications · 9.4K citations

    58

    h-index

  4. 53

    h-index

  5. AIAA Journal

    154 publications · 9.7K citations

    50

    h-index

1–5