Stochastic Process Algebra

Stochastic Process Algebra is a formal modeling framework within process algebra that extends classical process calculi by incorporating probabilistic and temporal behaviors to represent and analyze systems with stochastic event occurrences.

230

Publications

8.4K

Citations

301

Authors

169

Institutions

Publications per year

2017–2026

8

Authors

301

  1. JH
    Jane Hillston

    University of Edinburgh, United Kingdom

    21 publications · 968 citations

    16

    h-index

  2. SG
    Stephen Gilmore

    University of Edinburgh, United Kingdom

    15 publications · 565 citations

    13

    h-index

  3. MT
    Mirco Tribastone

    IMT School for Advanced Studies Lucca, Italy

    12 publications · 471 citations

    12

    h-index

  4. MB
    Marco Bernardo

    University of Urbino, Italy

    10 publications · 226 citations

    10

    h-index

  5. HH
    Holger Hermanns

    Saarland University, Germany

    9 publications · 343 citations

    9

    h-index

1–5 of 301

Venues

  1. The Computer Journal

    15 publications · 912 citations

    13

    h-index

  2. Theoretical Computer Science

    14 publications · 585 citations

    13

    h-index

  3. Electronic Notes in Theoretical Computer Science

    ENTCS · 7 publications · 234 citations

    7

    h-index

  4. OpenGrey (Institut de l'Information Scientifique et Technique)

    Repository · 4 publications · 151 citations

    4

    h-index

  5. The Annals of Probability

    4 publications · 113 citations

    4

    h-index

1–5