Numerical Probability Communication

Numerical Probability Communication is a scholarly contribution in the field of probability communication that formally conveys probabilistic information using quantitative numerical formats—such as probabilities, frequencies, or ratios—rather than qualitative or verbal descriptors, thereby enabling precise, unambiguous interpretation and analysis of uncertainty.

28

Publications

3.1K

Citations

63

Authors

35

Institutions

Publications per year

2017–2026

9

Authors

63

  1. DV
    David V. Budescu

    Fordham University, United States

    4 publications · 341 citations

    4

    h-index

  2. DR
    David R. Mandel

    Defence Research and Development Canada, Canada

    3 publications · 52 citations

    3

    h-index

  3. RM
    R. M. Lark

    Rothamsted Research, United Kingdom

    2 publications · 74 citations

    2

    h-index

  4. EU
    Elke U. Weber

    Columbia University, United States

    2 publications · 257 citations

    2

    h-index

  5. DI
    Daniel Irwin

    Marshall Space Flight Center, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 63

Venues

  1. Journal of Behavioral Decision Making

    3 publications · 150 citations

    3

    h-index

  2. 2

    h-index

  3. Journal of Risk Research

    2 publications · 149 citations

    2

    h-index

  4. Judgment and Decision Making

    2 publications · 83 citations

    2

    h-index

  5. Prenatal Diagnosis

    1 publications · 71 citations

    1

    h-index

1–5