Probabilistic Ranking

Probabilistic Ranking is a ranking methodology that belongs to the class of probabilistic models and distinguishes itself by assigning probabilities to rankings or rank positions to quantify uncertainty in the ordering of items.

199

Publications

12.5K

Citations

439

Authors

207

Institutions

Publications per year

2017–2026

31

Authors

439

  1. KY
    Ke Yi

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 473 citations

    4

    h-index

  2. YG
    Yann‐Gaël Guéhéneuc

    Polytechnique Montréal, Canada

    4 publications · 795 citations

    4

    h-index

  3. LF
    Li Fei-Fei

    Stanford University, United States

    4 publications · 473 citations

    4

    h-index

  4. JP
    Jian Pei

    Simon Fraser University, Canada

    4 publications · 360 citations

    4

    h-index

  5. GA
    Giuliano Antoniol

    Polytechnique Montréal, Canada

    4 publications · 795 citations

    4

    h-index

1–5 of 439

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 10 publications · 480 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 140 citations

    6

    h-index

  3. 4

    h-index

  4. The Annals of Mathematical Statistics

    4 publications · 1.1K citations

    4

    h-index

  5. Information Sciences

    4 publications · 131 citations

    4

    h-index

1–5