Uncertainty Comparison

Uncertainty Comparison is a methodological framework within comparative visualization that enables the systematic evaluation of differences in uncertainty representations across multiple datasets, models, or conditions by structuring visual encodings to support perceptual and cognitive assessment of uncertainty characteristics.

27

Publications

1.1K

Citations

101

Authors

50

Institutions

Publications per year

2017–2026

8

Authors

101

  1. DX
    Dong Xiao

    Tianjin University, China

    1 publications · 36 citations

    1

    h-index

  2. EL
    Enrico Lorenzini

    University of Padua, Italy

    1 publications · 16 citations

    1

    h-index

  3. VR
    Victor Restrepo

    Ability Found, United States

    1 publications · 10 citations

    1

    h-index

  4. ZZ
    Zhao Zongci

    Chinese Academy of Sciences, China

    1 publications · 52 citations

    1

    h-index

  5. ER
    Eva Rakovská

    Brno University of Technology, Czechia

    1 publications · 23 citations

    1

    h-index

1–5 of 101

Venues

  1. Metrologia

    3 publications · 72 citations

    3

    h-index

  2. Journal of Experimental Psychology General

    1 publications · 11 citations

    1

    h-index

  3. Reliability Engineering & System Safety

    1 publications · 273 citations

    1

    h-index

  4. Applied Sciences

    1 publications · 23 citations

    1

    h-index

  5. 气候变化研究进展:英文版

    1 publications · 21 citations

    1

    h-index

1–5