Matrix Visual Analytics

Matrix Visual Analytics is a scholarly framework within visual analytics that specializes in the systematic representation, analysis, and interpretation of relational data through matrix-based visual encodings to support exploratory and analytical tasks.

15

Publications

3.1K

Citations

51

Authors

32

Institutions

Publications per year

2017–2026

3

Authors

51

  1. CC
    Chun‐Houh Chen

    Institute of Statistical Science, Academia Sinica, Taiwan

    2 publications · 128 citations

    2

    h-index

  2. TS
    Tobias Schreck

    University of Konstanz, Germany

    2 publications · 55 citations

    2

    h-index

  3. HW
    Hanming Wu

    Semiconductor Manufacturing International (China), China

    2 publications · 128 citations

    2

    h-index

  4. DA
    Daniel A. Keim

    University of Konstanz, Germany

    2 publications · 48 citations

    2

    h-index

  5. YT
    Yin-Jing Tien

    Institute of Statistical Science, Academia Sinica, Taiwan

    2 publications · 128 citations

    2

    h-index

1–5 of 51

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 2.7K citations

    4

    h-index

  2. The American Statistician

    2 publications · 197 citations

    2

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 2 publications · 128 citations

    2

    h-index

  4. Computer Graphics Forum

    2 publications · 49 citations

    2

    h-index

  5. Computational Statistics

    1 publications · 26 citations

    1

    h-index

1–5