Visual Analytics For Multivariate Data

Visual Analytics for Multivariate Data is an interdisciplinary analytical approach that integrates interactive visual interfaces, computational methods, and human cognition to enable the exploration, interpretation, and understanding of complex multivariate datasets through iterative visual reasoning.

145

Publications

8.3K

Citations

379

Authors

182

Institutions

Publications per year

2017–2026

26

Authors

379

  1. MJ
    Mikael Jern

    Linköping University, Sweden

    7 publications · 171 citations

    7

    h-index

  2. JJ
    Jimmy Johansson

    Linköping University, Sweden

    6 publications · 135 citations

    6

    h-index

  3. MO
    Matthew O. Ward

    Worcester Polytechnic Institute, United States

    5 publications · 686 citations

    5

    h-index

  4. HH
    Helwig Hauser

    University of Bergen, Norway

    5 publications · 443 citations

    5

    h-index

  5. DG
    Diansheng Guo

    University of South Carolina, United States

    4 publications · 218 citations

    4

    h-index

1–5 of 379

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 19 publications · 1.3K citations

    17

    h-index

  2. Computer Graphics Forum

    8 publications · 533 citations

    8

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 4 publications · 162 citations

    4

    h-index

  4. 3

    h-index

  5. Technometrics

    3 publications · 190 citations

    3

    h-index

1–5