Data-driven Visualization

Data-Driven Visualization is a generative visual system that synthesizes visual representations through algorithmic processes directly informed by empirical data inputs, distinguishing itself from rule-based or manually designed visualization approaches by its reliance on data as the primary driver of visual form and structure.

155

Publications

10.6K

Citations

482

Authors

194

Institutions

Publications per year

2017–2026

66

Authors

482

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    6 publications · 239 citations

    6

    h-index

  2. JH
    Jeffrey Heer

    University of Washington, United States

    4 publications · 3.7K citations

    4

    h-index

  3. GL
    Guoliang Li

    Tsinghua University, China

    4 publications · 614 citations

    4

    h-index

  4. YL
    Yuyu Luo

    Tsinghua University, China

    4 publications · 623 citations

    4

    h-index

  5. CZ
    Chen Zhang

    Hunan University, China

    3 publications · 161 citations

    3

    h-index

1–5 of 482

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 21 publications · 4.7K citations

    20

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 107 citations

    4

    h-index

  3. Information Visualization

    3 publications · 69 citations

    3

    h-index

  4. 2

    h-index

  5. Frontiers in Neuroinformatics

    2 publications · 51 citations

    2

    h-index

1–5