Dynamic Querying

Dynamic Querying is an interactive visualization technique that enables users to explore time-series data through real-time, parameterized filtering and immediate visual feedback, distinguishing itself by supporting continuous and incremental refinement of data queries within a temporal context.

101

Publications

6.8K

Citations

252

Authors

99

Institutions

Publications per year

2017–2026

7

Authors

252

  1. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    12 publications · 1.4K citations

    12

    h-index

  2. HH
    Harry Hochheiser

    University of Pittsburgh, United States

    4 publications · 543 citations

    4

    h-index

  3. CP
    Catherine Plaisant

    University of Maryland, College Park, United States

    3 publications · 204 citations

    3

    h-index

  4. DF
    Danyel Fisher

    Microsoft (United States), United States

    3 publications · 248 citations

    3

    h-index

  5. KZ
    Kostas Zoumpatianos

    Université Paris Cité, France

    3 publications · 170 citations

    3

    h-index

1–5 of 252

Venues

  1. ACM SIGMOD Record

    6 publications · 194 citations

    6

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 218 citations

    3

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 63 citations

    2

    h-index

  4. IEEE Data(base) Engineering Bulletin

    2 publications · 44 citations

    2

    h-index

  5. 2

    h-index

1–5