Generative Architecture

Generative Architecture is a subfield of Generative Design that employs algorithmic processes and computational methods to systematically explore, generate, and optimize architectural forms, spatial configurations, and design solutions based on predefined rules, parameters, and constraints.

538

Publications

46.6K

Citations

1.6K

Authors

524

Institutions

Publications per year

2017–2026

454

Authors

1.6K

  1. CC
    Chen Change Loy

    Nanyang Technological University, Singapore

    7 publications · 1.3K citations

    7

    h-index

  2. ZW
    Zhangyang Wang

    The University of Texas at Austin, United States

    7 publications · 864 citations

    7

    h-index

  3. ES
    Eli Shechtman

    Adobe Systems (United States), United States

    6 publications · 1.1K citations

    6

    h-index

  4. JZ
    Jun-Yan Zhu

    Carnegie Mellon University, United States

    5 publications · 730 citations

    5

    h-index

  5. SL
    Samuli Laine

    Nvidia (United Kingdom), United Kingdom

    5 publications · 3.6K citations

    5

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 135 publications · 19.6K citations

    47

    h-index

  2. Neurocomputing

    12 publications · 331 citations

    10

    h-index

  3. 9

    h-index

  4. 8

    h-index

  5. Automation in Construction

    8 publications · 714 citations

    7

    h-index

1–5