Axis Scaling

Axis Scaling is a visualization technique in parallel coordinates that adjusts the relative spacing and range of individual axes to optimize the representation of multidimensional data patterns.

12

Publications

960

Citations

31

Authors

15

Institutions

Publications per year

2017–2026

6

Authors

31

  1. EH
    Evan H. Dart

    University of Southern Mississippi, United States

    2 publications · 99 citations

    2

    h-index

  2. KC
    Keith C. Radley

    University of Southern Mississippi, United States

    2 publications · 99 citations

    2

    h-index

  3. EG
    Erik G. Schad

    Northwestern University, United States

    1 publications · 35 citations

    1

    h-index

  4. MU
    Magnus Urquhart

    Chalmers University of Technology, Sweden

    1 publications · 81 citations

    1

    h-index

  5. JC
    Junghoon Chae

    Purdue University West Lafayette, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 31

Venues

  1. Applied Soft Computing

    1 publications · 81 citations

    1

    h-index

  2. Journal of Experimental Child Psychology

    JECP · 1 publications · 36 citations

    1

    h-index

  3. Physical review. B, Condensed matter

    PRB · 1 publications · 93 citations

    1

    h-index

  4. Graphics and Visual Computing

    1 publications · 16 citations

    1

    h-index

  5. Frontiers in Genetics

    1 publications · 367 citations

    1

    h-index

1–5