Pairwise Relationship Visualization

Pairwise Relationship Visualization is a data visualization technique that systematically displays the pairwise relationships between multiple variables in a dataset through a matrix of scatterplots, enabling the simultaneous examination of covariance, correlation, and distributional patterns across variable pairs.

9

Publications

575

Citations

29

Authors

17

Institutions

Publications per year

2017–2026

2

Authors

29

  1. KT
    Kevin T. McDonnell

    Stony Brook University, United States

    1 publications · 84 citations

    1

    h-index

  2. TS
    Thomas Sprenger

    ETH Zurich, Switzerland

    1 publications · 23 citations

    1

    h-index

  3. MH
    Meichun Hsu

    Hewlett-Packard (United States), United States

    1 publications · 23 citations

    1

    h-index

  4. VD
    Vishank D. Patel

    University of Alabama, United States

    1 publications · 94 citations

    1

    h-index

  5. MH
    Ming Hao

    Hewlett-Packard (United States), United States

    1 publications · 23 citations

    1

    h-index

1–5 of 29

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 145 citations

    3

    h-index

  2. Computer Graphics Forum

    1 publications · 126 citations

    1

    h-index

  3. Journal of Cheminformatics

    1 publications · 94 citations

    1

    h-index

  4. Behaviormetrika

    1 publications · 67 citations

    1

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 58 citations

    1

    h-index

1–5