Rank Elicitation

Rank Elicitation is a methodological approach within expert elicitation that systematically determines the relative order of variables, outcomes, or hypotheses based on expert judgment, distinguishing itself by focusing on ordinal prioritization rather than quantitative probability assessment.

48

Publications

3.6K

Citations

134

Authors

83

Institutions

Publications per year

2017–2026

6

Authors

134

  1. RB
    Róbert Busa‐Fekete

    MTA-SZTE Research Group on Artificial Intelligence, Hungary

    3 publications · 101 citations

    3

    h-index

  2. AF
    Ahmed Frikha

    University of Sfax, Tunisia

    2 publications · 54 citations

    2

    h-index

  3. JW
    Janet Wittes

    Statistics Collaborative, United States

    2 publications · 57 citations

    2

    h-index

  4. MA
    Mohamed Ayman Boujelben

    University of Sfax, Tunisia

    2 publications · 54 citations

    2

    h-index

  5. BS
    Balázs Szörényi

    MTA-SZTE Research Group on Artificial Intelligence, Hungary

    2 publications · 55 citations

    2

    h-index

1–5 of 134

Venues

  1. Statistics in Medicine

    3 publications · 75 citations

    3

    h-index

  2. 2

    h-index

  3. Journal of the Operational Research Society

    OR · 2 publications · 24 citations

    2

    h-index

  4. Open access LMU (Ludwid Maxmilian's Universitat Munchen)

    Repository · 2 publications · 87 citations

    2

    h-index

  5. 1

    h-index

1–5