Expert Aggregation

Expert Aggregation is a methodological framework that synthesizes individual expert judgments into a collective estimate through systematic weighting, integration, or consensus techniques to enhance the reliability and validity of decision-making under uncertainty.

147

Publications

9.8K

Citations

348

Authors

216

Institutions

Publications per year

2017–2026

45

Variants

Expert Judgment AggregationExpert Opinion Aggregation

Authors

348

  1. AM
    Anca M. Hanea

    The University of Melbourne, Australia

    5 publications · 248 citations

    5

    h-index

  2. MA
    Mark A. Burgman

    The University of Melbourne, Australia

    4 publications · 213 citations

    4

    h-index

  3. RL
    Robert L. Winkler

    Duke University, United States

    4 publications · 1.4K citations

    4

    h-index

  4. RT
    Robert T. Clemen

    Duke University, United States

    3 publications · 957 citations

    3

    h-index

  5. WZ
    Wenjun Zhang

    University of Saskatchewan, Canada

    3 publications · 172 citations

    3

    h-index

1–5 of 348

Venues

  1. Management Science

    8 publications · 1.5K citations

    8

    h-index

  2. International Journal of Intelligent Systems

    7 publications · 317 citations

    7

    h-index

  3. Risk Analysis

    5 publications · 1K citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 168 citations

    5

    h-index

  5. Decision Analysis

    5 publications · 343 citations

    5

    h-index

1–5