Temporal Pattern Visualization

Temporal Pattern Visualization is a method within the field of temporal multivariate visualization that specifically enables the graphical representation and analysis of recurring, evolving, or otherwise structured changes in multivariate data over time, distinguishing itself by focusing on the identification and depiction of temporal patterns rather than raw data or isolated events.

61

Publications

3.5K

Citations

205

Authors

92

Institutions

Publications per year

2017–2026

7

Authors

205

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    4 publications · 176 citations

    4

    h-index

  2. WA
    Wolfgang Aigner

    TU Wien, Austria

    3 publications · 89 citations

    3

    h-index

  3. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    2 publications · 235 citations

    2

    h-index

  4. TS
    Tobias Schreck

    University of Konstanz, Germany

    2 publications · 98 citations

    2

    h-index

  5. DW
    Deryck W. Holdsworth

    Pennsylvania State University, United States

    2 publications · 69 citations

    2

    h-index

1–5 of 205

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 10 publications · 1.5K citations

    10

    h-index

  2. Information Visualization

    4 publications · 127 citations

    4

    h-index

  3. 1

    h-index

  4. Nature Neuroscience

    1 publications · 152 citations

    1

    h-index

  5. Artificial Intelligence in Medicine

    AIM · 1 publications · 102 citations

    1

    h-index

1–5