Data Visualization Aesthetics

Data Visualization Aesthetics is a scholarly framework that systematizes the principles and criteria governing the visual design and sensory appeal of graphical representations of data, distinguishing it from purely functional or statistical approaches to visualization by emphasizing perceptual, cognitive, and affective responses to visual form.

56

Publications

2.5K

Citations

128

Authors

68

Institutions

Publications per year

2017–2026

21

Authors

128

  1. CG
    Christopher G. Healey

    North Carolina State University, United States

    3 publications · 143 citations

    3

    h-index

  2. AV
    Andrew Vande Moere

    KU Leuven, Belgium

    3 publications · 380 citations

    3

    h-index

  3. NC
    Nick Cawthon

    The University of Sydney, Australia

    3 publications · 241 citations

    3

    h-index

  4. JT
    James T. Enns

    University of British Columbia, Canada

    3 publications · 143 citations

    3

    h-index

  5. AZ
    Aaron Zinman

    Dana-Farber/Harvard Cancer Center, United States

    2 publications · 40 citations

    2

    h-index

1–5 of 128

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 420 citations

    3

    h-index

  2. IEEE Computer Graphics and Applications

    3 publications · 150 citations

    3

    h-index

  3. Leonardo

    2 publications · 61 citations

    2

    h-index

  4. Numeracy

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5