Visual Analytics For Temporal Data

Visual Analytics for Temporal Data is an interdisciplinary analytical framework that integrates computational methods, interactive visualizations, and human cognitive capabilities to enable the exploration, analysis, and interpretation of time-varying data through temporal patterns, dynamics, and sequences.

129

Publications

7K

Citations

412

Authors

185

Institutions

Publications per year

2017–2026

36

Authors

412

  1. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    7 publications · 720 citations

    9

    h-index

  2. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    7 publications · 720 citations

    9

    h-index

  3. WA
    Wolfgang Aigner

    TU Wien, Austria

    9 publications · 620 citations

    9

    h-index

  4. SM
    Silvia Miksch

    TU Wien, Austria

    8 publications · 597 citations

    8

    h-index

  5. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    6 publications · 372 citations

    6

    h-index

1–5 of 412

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 27 publications · 2.1K citations

    23

    h-index

  2. Information Visualization

    6 publications · 315 citations

    6

    h-index

  3. Computer Graphics Forum

    3 publications · 239 citations

    4

    h-index

  4. Visual Informatics

    3 publications · 51 citations

    4

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 3 publications · 60 citations

    3

    h-index

1–5