Distance Matrix Visualization

Distance Matrix Visualization is a visualization technique that uniquely represents the pairwise dissimilarities or distances among objects in a dataset as a two-dimensional matrix layout, enabling the inspection of structural patterns and relationships inherent in the distance data.

27

Publications

3.5K

Citations

83

Authors

53

Institutions

Publications per year

2017–2026

10

Authors

83

  1. AU
    Alfred Ultsch

    Philipps University of Marburg, Germany

    2 publications · 219 citations

    2

    h-index

  2. GA
    Giuseppe Aprile

    Istituti di Ricovero e Cura a Carattere Scientifico, Italy

    1 publications · 73 citations

    1

    h-index

  3. PG
    Patrick Georges

    University of Ottawa, Canada

    1 publications · 54 citations

    1

    h-index

  4. NC
    Ngoc Cuong Nguyen

    Massachusetts Institute of Technology, United States

    1 publications · 15 citations

    1

    h-index

  5. JD
    Josh D. Neufeld

    University of Waterloo, Canada

    1 publications · 20 citations

    1

    h-index

1–5 of 83

Venues

  1. Computer applications in the biosciences

    CABIOS · 2 publications · 183 citations

    2

    h-index

  2. Scientometrics

    2 publications · 69 citations

    2

    h-index

  3. Aaltodoc (Aalto University)

    Repository · 1 publications · 61 citations

    1

    h-index

  4. Journal of Mathematical Chemistry

    1 publications · 18 citations

    1

    h-index

  5. Knowledge and Information Systems

    1 publications · 19 citations

    1

    h-index

1–5