Pattern Generation

Pattern Generation is a computational design methodology within Scripting for Design that systematically produces structured geometric or formal arrangements through algorithmic rules, distinguishing it from manual or intuitive composition techniques.

1.3K

Publications

61.3K

Citations

3.1K

Authors

1K

Institutions

Publications per year

2017–2026

168

Authors

3.1K

  1. YC
    Yaodong Cui

    Guangxi University, China

    9 publications · 217 citations

    8

    h-index

  2. FA
    F. Ares

    Universidade de Santiago de Compostela, Spain

    8 publications · 196 citations

    8

    h-index

  3. TM
    Toufik Mansour

    University of Haifa, Israel

    8 publications · 249 citations

    8

    h-index

  4. QL
    Qing Liu

    Duke University, United States

    7 publications · 283 citations

    7

    h-index

  5. JT
    Julian Togelius

    New York University, United States

    7 publications · 234 citations

    7

    h-index

1–5 of 3.1K

Venues

  1. IEEE Transactions on Antennas and Propagation

    28 publications · 1.8K citations

    21

    h-index

  2. ACM Transactions on Graphics

    TOG · 21 publications · 838 citations

    16

    h-index

  3. 15

    h-index

  4. Theoretical Computer Science

    18 publications · 1.8K citations

    15

    h-index

  5. Pattern Recognition

    15 publications · 643 citations

    14

    h-index

1–5