Probabilistic Computation

Probabilistic Computation is a computational model that extends deterministic computation by incorporating randomness as a core mechanism, enabling transitions and outcomes to be governed by probability distributions rather than fixed rules.

850

Publications

51.2K

Citations

1.7K

Authors

654

Institutions

Publications per year

2017–2026

158

Authors

1.7K

  1. AM
    Annabelle McIver

    Macquarie University, Australia

    16 publications · 806 citations

    12

    h-index

  2. JK
    Joost-Pieter Katoen

    RWTH Aachen University, Germany

    15 publications · 559 citations

    12

    h-index

  3. CM
    Carroll Morgan

    Oxford Research Group, United Kingdom

    12 publications · 758 citations

    11

    h-index

  4. VK
    Vikash K. Mansinghka

    Massachusetts Institute of Technology, United States

    9 publications · 498 citations

    9

    h-index

  5. BL
    Benjamin Lucien Kaminski

    RWTH Aachen University, Germany

    8 publications · 362 citations

    8

    h-index

1–5 of 1.7K

Venues

  1. arXiv (Cornell University)

    Repository · 50 publications · 3.3K citations

    27

    h-index

  2. Electronic Notes in Theoretical Computer Science

    ENTCS · 34 publications · 1K citations

    18

    h-index

  3. Theoretical Computer Science

    17 publications · 800 citations

    16

    h-index

  4. Information and Computation

    12 publications · 950 citations

    12

    h-index

  5. Proceedings of the ACM on Programming Languages

    PACMPL · 15 publications · 483 citations

    12

    h-index

1–5