Temporal Data Exploration

Temporal Data Exploration is a method within the field of visual data exploration that enables the analysis of time-varying datasets through interactive visualization and navigation of temporal patterns, sequences, and changes over time.

98

Publications

4.2K

Citations

310

Authors

133

Institutions

Publications per year

2017–2026

17

Authors

310

  1. SM
    Silvia Miksch

    TU Wien, Austria

    9 publications · 747 citations

    9

    h-index

  2. WA
    Wolfgang Aigner

    TU Wien, Austria

    8 publications · 631 citations

    8

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  3. YS
    Yuval Shaḥar

    Ben-Gurion University of the Negev, Israel

    4 publications · 128 citations

    4

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  4. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    4 publications · 99 citations

    4

    h-index

  5. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    4 publications · 99 citations

    4

    h-index

1–5 of 310

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 15 publications · 700 citations

    15

    h-index

  2. Computer Graphics Forum

    2 publications · 192 citations

    2

    h-index

  3. Journal of Learning Analytics

    2 publications · 62 citations

    2

    h-index

  4. 2

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  5. Information Visualization

    2 publications · 32 citations

    2

    h-index

1–5