Quantitative Comparison Visualization

Quantitative Comparison Visualization is a scholarly contribution in the field of information visualization that enables the systematic juxtaposition of numerical data across entities or conditions through visual means, distinguished by its reliance on measurable, structured data to reveal patterns, differences, or relationships.

12

Publications

239

Citations

44

Authors

21

Institutions

Publications per year

2017–2026

2

Authors

44

  1. JC
    Jason C. Mills

    Washington University in St. Louis, United States

    1 publications · 30 citations

    1

    h-index

  2. AV
    Alain Venot

    Université Paris Cité, France

    1 publications · 19 citations

    1

    h-index

  3. JD
    Jeremiah D. Deng

    University of Otago, New Zealand

    1 publications · 13 citations

    1

    h-index

  4. CL
    Charles Lewis

    Educational Testing Service, United States

    1 publications · 13 citations

    1

    h-index

  5. JZ
    Jianhua Zhang

    North China Electric Power University, China

    1 publications · 13 citations

    1

    h-index

1–5 of 44

Venues

  1. Computer Graphics Forum

    2 publications · 64 citations

    2

    h-index

  2. PRESENCE Virtual and Augmented Reality

    1 publications · 14 citations

    1

    h-index

  3. Nucleic Acids Research

    1 publications · 16 citations

    1

    h-index

  4. The American Statistician

    1 publications · 13 citations

    1

    h-index

  5. Journal of Biomedical Informatics

    1 publications · 19 citations

    1

    h-index

1–5