Generative Pattern Design

Generative Pattern Design is a computational design methodology that systematically produces intricate, variable, and self-similar visual or structural patterns through algorithmic rules and autonomous processes within the broader domain of Generative Art.

17

Publications

327

Citations

58

Authors

27

Institutions

Publications per year

2017–2026

4

Authors

58

  1. DS
    Duane Szafron

    University of Alberta, Canada

    2 publications · 27 citations

    2

    h-index

  2. JS
    Jonathan Schaeffer

    University of Alberta, Canada

    2 publications · 27 citations

    2

    h-index

  3. PO
    Peichang Ouyang

    Jinggangshan University, China

    2 publications · 27 citations

    2

    h-index

  4. QX
    Qingsheng Xie

    Guizhou University, China

    1 publications · 28 citations

    1

    h-index

  5. QY
    Qingni Yuan

    Guizhou University, China

    1 publications · 28 citations

    1

    h-index

1–5 of 58

Venues

  1. IEEE Computer Graphics and Applications

    2 publications · 27 citations

    2

    h-index

  2. Journal of Mechanical Design

    1 publications · 17 citations

    1

    h-index

  3. Journal on Computing and Cultural Heritage

    JOCCH · 1 publications · 13 citations

    1

    h-index

  4. Organised Sound

    1 publications · 13 citations

    1

    h-index

  5. Journal of Mathematics and the Arts

    1 publications · 16 citations

    1

    h-index

1–5