Computational Creativity In Design

Computational Creativity in Design is a scholarly framework within interactive generative design that systematically integrates computational methods to simulate, augment, or autonomously produce design innovations, distinguishing itself by formalizing creative reasoning and generative exploration through algorithmic, cognitive, or machine-based models.

128

Publications

6.3K

Citations

300

Authors

131

Institutions

Publications per year

2017–2026

63

Authors

300

  1. ML
    Mary Lou Maher

    The University of Sydney, Australia

    7 publications · 374 citations

    7

    h-index

  2. MC
    Michael Cook

    University of Missouri, United States

    6 publications · 206 citations

    6

    h-index

  3. SC
    Simon Colton

    Imperial College London, United Kingdom

    6 publications · 292 citations

    6

    h-index

  4. AP
    Alison Pease

    University of Edinburgh, United Kingdom

    5 publications · 242 citations

    5

    h-index

  5. PC
    Peter Childs

    Imperial College London, United Kingdom

    4 publications · 193 citations

    4

    h-index

1–5 of 300

Venues

  1. IEEE Transactions on Games

    TG · 3 publications · 112 citations

    3

    h-index

  2. Journal of Computing and Information Science in Engineering

    JCISE · 3 publications · 275 citations

    3

    h-index

  3. ICCC

    3 publications · 65 citations

    3

    h-index

  4. Choice Reviews Online

    CRO · 3 publications · 578 citations

    3

    h-index

  5. 3

    h-index

1–5