Temporal Data Analysis

Temporal Data Analysis is a methodological framework within the domain of real-time analytics that distinguishes itself by systematically examining the chronological ordering, timing, and duration of events to extract patterns and insights from data sequences evolving over time.

744

Publications

45.2K

Citations

2.2K

Authors

828

Institutions

Publications per year

2017–2026

270

Authors

2.2K

  1. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    8 publications · 791 citations

    8

    h-index

  2. CP
    Catherine Plaisant

    University of Maryland, College Park, United States

    6 publications · 626 citations

    6

    h-index

  3. DC
    Dean Croushore

    University of Richmond, United States

    6 publications · 690 citations

    6

    h-index

  4. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    3 publications · 62 citations

    5

    h-index

  5. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    3 publications · 62 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. arXiv (Cornell University)

    Repository · 21 publications · 702 citations

    13

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 14 publications · 2.2K citations

    12

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 1.1K citations

    12

    h-index

  4. Sensors

    8 publications · 351 citations

    9

    h-index

  5. IEEE Access

    7 publications · 298 citations

    8

    h-index

1–5