Interactive Filtering

Interactive Filtering is a multivariate visualization technique that enables users to dynamically refine data subsets through direct manipulation of visual controls, thereby reducing visual complexity and focusing analysis on specific attribute ranges or records of interest.

84

Publications

4.4K

Citations

226

Authors

100

Institutions

Publications per year

2017–2026

12

Authors

226

  1. AS
    Anselm Spoerri

    Rutgers, The State University of New Jersey, United States

    4 publications · 186 citations

    4

    h-index

  2. MS
    Maureen Stone

    University of Maryland, Baltimore, United States

    3 publications · 364 citations

    3

    h-index

  3. NE
    Niklas Elmqvist

    University of Maryland, College Park, United States

    3 publications · 149 citations

    3

    h-index

  4. JS
    John Stasko

    Georgia Institute of Technology, United States

    3 publications · 1.2K citations

    3

    h-index

  5. KF
    Ken Fishkin

    Palo Alto Research Center, United States

    3 publications · 364 citations

    3

    h-index

1–5 of 226

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 11 publications · 2K citations

    11

    h-index

  2. Computer Graphics Forum

    2 publications · 55 citations

    2

    h-index

  3. Information Visualization

    1 publications · 51 citations

    1

    h-index

  4. Multimedia Information Retrieval

    Conference · 1 publications · 22 citations

    1

    h-index

  5. Journal of Geovisualization and Spatial Analysis

    JGSA · 1 publications · 18 citations

    1

    h-index

1–5