Interactive Multivariate Exploration

Interactive Multivariate Exploration is a methodology in multivariate data visualization that enables users to dynamically manipulate visual representations and analytical parameters to explore complex, high-dimensional datasets through iterative, user-driven interaction.

29

Publications

1.7K

Citations

73

Authors

39

Institutions

Publications per year

2017–2026

2

Authors

73

  1. MO
    Matthew O. Ward

    Worcester Polytechnic Institute, United States

    4 publications · 262 citations

    4

    h-index

  2. JJ
    Jimmy Johansson

    Linköping University, Sweden

    3 publications · 64 citations

    3

    h-index

  3. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    3 publications · 158 citations

    3

    h-index

  4. CB
    Clifford Beshers

    Columbia University, United States

    2 publications · 108 citations

    2

    h-index

  5. SF
    Steven Feiner

    Columbia University, United States

    2 publications · 108 citations

    2

    h-index

1–5 of 73

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 179 citations

    3

    h-index

  2. Computers & Graphics

    2 publications · 73 citations

    2

    h-index

  3. Computer Graphics Forum

    2 publications · 255 citations

    2

    h-index

  4. IEEE Computer Graphics and Applications

    2 publications · 156 citations

    2

    h-index

  5. Information Visualization

    1 publications · 99 citations

    1

    h-index

1–5