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
Parents
147
The Consensus of Subjective Probability Distributions
Robert L. Winkler · Management Science · 1968 · 375 citations
Identifying Expertise to Extract the Wisdom of Crowds
David V. Budescu, Eva E. Chen · Management Science · 2014 · 373 citations
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Duke University
Durham, United States
5 h-index
9 publications
2.8K citations

The University of Melbourne
Melbourne, Australia
5 h-index
26 publications
1.2K citations

National Academy of Sciences of Ukraine
Kyiv, Ukraine
4 h-index
10 publications
323 citations
Institute for Information Recording
Kyiv, Ukraine
4 h-index
10 publications
323 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
537 citations

Imperial College London
London, United Kingdom
4 h-index
4 publications
163 citations
University of Southern California
Los Angeles, United States
3 h-index
4 publications
209 citations
General Motors (United States)
Detroit, United States
3 h-index
3 publications
181 citations
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8 publications · 1.5K citations
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7 publications · 317 citations
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Repository · 5 publications · 168 citations
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5 publications · 343 citations
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