Multivariate Time-series Visualization

Multivariate Time-Series Visualization is a time-series visualization technique that specifically represents multiple interrelated temporal variables within a shared chronological framework, distinguishing itself from univariate or bivariate approaches by encoding the dynamic interactions and dependencies among three or more time-dependent dimensions.

49

Publications

1.8K

Citations

184

Authors

67

Institutions

Publications per year

2017–2026

14

Authors

184

  1. SM
    Silvia Miksch

    TU Wien, Austria

    4 publications · 66 citations

    4

    h-index

  2. CU
    Christoph U. Lehmann

    Johns Hopkins University, United States

    3 publications · 65 citations

    3

    h-index

  3. PO
    Patricia Ordóñez

    Universidad de Oviedo, Spain

    3 publications · 65 citations

    3

    h-index

  4. AR
    Alexander Rind

    University of Applied Sciences St Pölten, Austria

    3 publications · 82 citations

    3

    h-index

  5. WA
    Wolfgang Aigner

    TU Wien, Austria

    3 publications · 84 citations

    3

    h-index

1–5 of 184

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 404 citations

    6

    h-index

  2. Computer Graphics Forum

    5 publications · 129 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 73 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 43 citations

    2

    h-index

  5. Computers & Graphics

    2 publications · 57 citations

    2

    h-index

1–5