Temporal Querying

Temporal Querying is a visual querying paradigm that enables the retrieval and analysis of time-varying visual data by explicitly modeling and querying temporal dependencies and sequences within dynamic visual content.

97

Publications

5.2K

Citations

264

Authors

121

Institutions

Publications per year

2017–2026

7

Authors

264

  1. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    6 publications · 757 citations

    6

    h-index

  2. RC
    Ricardo Campos

    INESC TEC, Portugal

    4 publications · 63 citations

    4

    h-index

  3. GD
    Gaël Dias

    University of Beira Interior, Portugal

    4 publications · 63 citations

    4

    h-index

  4. HH
    Harry Hochheiser

    University of Pittsburgh, United States

    4 publications · 551 citations

    4

    h-index

  5. AJ
    Alí­pio Jorge

    Universidade do Porto, Portugal

    4 publications · 63 citations

    4

    h-index

1–5 of 264

Venues

  1. Information Sciences

    4 publications · 284 citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 92 citations

    3

    h-index

  3. PubMed

    Repository · 3 publications · 60 citations

    3

    h-index

  4. The VLDB Journal

    3 publications · 78 citations

    3

    h-index

  5. Journal of Visual Languages & Computing

    JVLC · 3 publications · 71 citations

    3

    h-index

1–5