Event Sequence Analysis

Event Sequence Analysis is a methodological framework within sequence pattern recognition that specifically identifies, models, and interprets temporal sequences of discrete events to uncover underlying structural or behavioral patterns in longitudinal data.

249

Publications

13.4K

Citations

728

Authors

324

Institutions

Publications per year

2017–2026

75

Authors

728

  1. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    12 publications · 499 citations

    11

    h-index

  2. FD
    Fan Du

    University of Maryland, College Park, United States

    7 publications · 384 citations

    7

    h-index

  3. HX
    Hongteng Xu

    Georgia Institute of Technology, United States

    7 publications · 192 citations

    7

    h-index

  4. CP
    Catherine Plaisant

    University of Maryland, College Park, United States

    6 publications · 270 citations

    6

    h-index

  5. DG
    David Gotz

    University of North Carolina at Chapel Hill, United States

    6 publications · 471 citations

    6

    h-index

1–5 of 728

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 969 citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 210 citations

    9

    h-index

  3. Behavior Research Methods

    BRM · 3 publications · 110 citations

    3

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 90 citations

    3

    h-index

  5. Computer Graphics Forum

    3 publications · 128 citations

    3

    h-index

1–5