Computational Aesthetics

Computational Aesthetics is a scholarly discipline within data-driven design that systematically investigates and formalizes aesthetic principles and perceptual preferences through computational models and algorithmic analysis.

474

Publications

24.6K

Citations

1.3K

Authors

519

Institutions

Publications per year

2017–2026

217

Authors

1.3K

  1. HC
    Helen C. Purchase

    University of Glasgow, United Kingdom

    8 publications · 712 citations

    8

    h-index

  2. LL
    Leida Li

    Xidian University, China

    6 publications · 246 citations

    6

    h-index

  3. YY
    Yuzhe Yang

    Xidian University, China

    5 publications · 225 citations

    5

    h-index

  4. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    5 publications · 231 citations

    5

    h-index

  5. JT
    Julian Togelius

    New York University, United States

    4 publications · 174 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. IEEE Transactions on Multimedia

    13 publications · 835 citations

    12

    h-index

  2. Leonardo

    12 publications · 259 citations

    11

    h-index

  3. IEEE Access

    10 publications · 376 citations

    10

    h-index

  4. arXiv (Cornell University)

    Repository · 10 publications · 291 citations

    10

    h-index

  5. Computer Graphics Forum

    9 publications · 442 citations

    9

    h-index

1–5