Temporal Change Visualization

Temporal Change Visualization is a type of temporal multivariate visualization that specifically encodes and emphasizes the differences in multivariate data over time to reveal patterns, trends, and anomalies in how variables evolve relative to each other across temporal intervals.

34

Publications

1.8K

Citations

101

Authors

47

Institutions

Publications per year

2017–2026

7

Authors

101

  1. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    3 publications · 102 citations

    3

    h-index

  2. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    3 publications · 102 citations

    3

    h-index

  3. MB
    Michel Bilello

    University of Pennsylvania, United States

    2 publications · 30 citations

    2

    h-index

  4. TS
    Tobias Schreck

    University of Konstanz, Germany

    2 publications · 38 citations

    2

    h-index

  5. JK
    Jarosław Krejza

    University of Pennsylvania, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 101

Venues

  1. Computer Graphics Forum

    3 publications · 111 citations

    3

    h-index

  2. The Neuroradiology Journal

    2 publications · 30 citations

    2

    h-index

  3. 1

    h-index

  4. Computers and Electronics in Agriculture

    1 publications · 30 citations

    1

    h-index

  5. 1

    h-index

1–5