Time-varying Multivariate Visualization

Time-Varying Multivariate Visualization is a multivariate data visualization method that incorporates temporal evolution as a primary dimension, enabling the representation and analysis of multiple interrelated variables that change over time.

23

Publications

877

Citations

64

Authors

38

Institutions

Publications per year

2017–2026

5

Authors

64

  1. CW
    Chaoli Wang

    University of Notre Dame, United States

    4 publications · 166 citations

    4

    h-index

  2. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    3 publications · 109 citations

    3

    h-index

  3. WM
    Wolfgang Müller

    Paderborn University, Germany

    2 publications · 206 citations

    2

    h-index

  4. TS
    Tobias Schreck

    University of Konstanz, Germany

    2 publications · 101 citations

    2

    h-index

  5. NM
    Natasha M. Maurits

    University of Groningen, Netherlands

    2 publications · 39 citations

    2

    h-index

1–5 of 64

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 264 citations

    6

    h-index

  2. PubMed

    Repository · 2 publications · 30 citations

    2

    h-index

  3. IEEE Computer Graphics and Applications

    1 publications · 43 citations

    1

    h-index

  4. IBM Journal of Research and Development

    1 publications · 16 citations

    1

    h-index

  5. Eurographics

    Repository · 1 publications · 70 citations

    1

    h-index

1–5