Interactive Data Selection

Interactive Data Selection is a methodological framework within interactive filtering that enables users to dynamically specify criteria for subset extraction through iterative, real-time engagement with data visualization or query interfaces.

15

Publications

733

Citations

55

Authors

31

Institutions

Publications per year

2017–2026

2

Authors

55

  1. XY
    Xiaoru Yuan

    Peking University, China

    2 publications · 256 citations

    2

    h-index

  2. WH
    William H. Benson

    University of Mississippi, United States

    1 publications · 10 citations

    1

    h-index

  3. MJ
    María J. Ledesma‐Carbayo

    Universidad Politécnica de Madrid, Spain

    1 publications · 47 citations

    1

    h-index

  4. VN
    Vijay Natarajan

    Indian Institute of Science Bangalore, India

    1 publications · 13 citations

    1

    h-index

  5. PG
    Peihong Guo

    Peking University, China

    1 publications · 138 citations

    1

    h-index

1–5 of 55

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 363 citations

    4

    h-index

  2. Computer Graphics Forum

    1 publications · 25 citations

    1

    h-index

  3. Surveys in Geophysics

    1 publications · 52 citations

    1

    h-index

  4. Information Visualization

    1 publications · 21 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 47 citations

    1

    h-index

1–5