Perception Of Quantitative Information

Perception of Quantitative Information is a cognitive process within statistical visualization that refers to the accurate interpretation and extraction of numerical data from visual representations, distinguished by the human visual system’s ability to discern and judge quantitative magnitudes based on graphical features such as length, area, angle, and position.

166

Publications

25.6K

Citations

366

Authors

194

Institutions

Publications per year

2017–2026

22

Authors

366

  1. ER
    Edward R. Tufte

    Princeton University, United States

    13 publications · 5.7K citations

    12

    h-index

  2. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    5 publications · 2.4K citations

    5

    h-index

  3. HT
    Howard T. Fisher

    William James College, United States

    3 publications · 66 citations

    3

    h-index

  4. RM
    Robert McGill

    AT&T (United States), United States

    3 publications · 2.3K citations

    3

    h-index

  5. MG
    Mirta Galešić

    Max Planck Institute for Human Development, Germany

    3 publications · 182 citations

    3

    h-index

1–5 of 366

Venues

  1. Journal of the American Statistical Association

    6 publications · 4.6K citations

    6

    h-index

  2. Technometrics

    5 publications · 2.2K citations

    5

    h-index

  3. Medical Decision Making

    MDM · 3 publications · 358 citations

    3

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 96 citations

    3

    h-index

  5. 3

    h-index

1–5