Evolutionary Visualization

Evolutionary Visualization is a temporal visualization method that specifically represents the dynamic changes and developmental trajectories of entities, processes, or systems over time by encoding sequential states and transitional patterns in a visually continuous and interpretable form.

31

Publications

1K

Citations

69

Authors

39

Institutions

Publications per year

2017–2026

2

Authors

69

  1. TC
    Trevor Collins

    The Open University, United Kingdom

    4 publications · 100 citations

    4

    h-index

  2. MA
    Mark A. Bedau

    Reed College, United States

    3 publications · 64 citations

    3

    h-index

  3. SK
    Simon Kirby

    University of Edinburgh, United Kingdom

    2 publications · 79 citations

    2

    h-index

  4. FJ
    Francisco José García‐Peñalvo

    Universidad de Salamanca, Spain

    2 publications · 55 citations

    2

    h-index

  5. AG
    Antonio González-Torres

    Universidad de Salamanca, Spain

    2 publications · 55 citations

    2

    h-index

1–5 of 69

Venues

  1. Artificial Life

    6 publications · 167 citations

    6

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 38 citations

    1

    h-index

  3. Journal of Visual Languages & Computing

    JVLC · 1 publications · 30 citations

    1

    h-index

  4. ICGA

    1 publications · 18 citations

    1

    h-index

  5. Information Sciences

    1 publications · 32 citations

    1

    h-index

1–5