Pairwise Comparison Visualization

Pairwise Comparison Visualization is a method within the field of information visualization that specifically enables the visual analysis of relationships and differences between pairs of entities by systematically arranging and encoding their comparative attributes.

29

Publications

1.6K

Citations

78

Authors

52

Institutions

Publications per year

2017–2026

7

Authors

78

  1. EE
    E. E. Burns

    Texas A&M University, United States

    2 publications · 44 citations

    2

    h-index

  2. JL
    Jean-Baptiste Lamy

    Université Sorbonne Paris Nord, France

    2 publications · 36 citations

    2

    h-index

  3. GE
    Geoffrey E. Hinton

    University of Toronto, Canada

    2 publications · 390 citations

    2

    h-index

  4. DS
    Doru Stoica

    University of Craiova, Romania

    2 publications · 44 citations

    2

    h-index

  5. MF
    Madeleine Favre

    Université Paris Cité, France

    2 publications · 36 citations

    2

    h-index

1–5 of 78

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 100 citations

    3

    h-index

  2. Interacting with Computers

    1 publications · 47 citations

    1

    h-index

  3. Journal of Biomedical Informatics

    1 publications · 19 citations

    1

    h-index

  4. Social Networks

    1 publications · 44 citations

    1

    h-index

  5. Machine Learning

    1 publications · 301 citations

    1

    h-index

1–5