Time-varying Data Visualization

Time-Varying Data Visualization is a scientific visualization technique that specifically represents the evolution of dynamic data sets over time by encoding temporal changes in visual variables to reveal patterns, behaviors, and transitions inherent in time-dependent phenomena.

576

Publications

26.9K

Citations

1.5K

Authors

519

Institutions

Publications per year

2017–2026

102

Authors

1.5K

  1. CW
    Chaoli Wang

    University of Notre Dame, United States

    18 publications · 781 citations

    16

    h-index

  2. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    16 publications · 554 citations

    14

    h-index

  3. SM
    Silvia Miksch

    TU Wien, Austria

    15 publications · 1.3K citations

    13

    h-index

  4. WA
    Wolfgang Aigner

    TU Wien, Austria

    14 publications · 1.1K citations

    13

    h-index

  5. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    16 publications · 878 citations

    13

    h-index

1–5 of 1.5K

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 91 publications · 6.2K citations

    46

    h-index

  2. Computer Graphics Forum

    28 publications · 2K citations

    21

    h-index

  3. IEEE Computer Graphics and Applications

    14 publications · 394 citations

    12

    h-index

  4. Information Visualization

    9 publications · 343 citations

    9

    h-index

  5. Eurographics

    Repository · 7 publications · 278 citations

    7

    h-index

1–5