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
Parents
230
C. Priami · The Computer Journal · 1995 · 465 citations · Full text
The Real-Time Process Algebra (RTPA)
Yingxu Wang · Annals of Software Engineering · 2002 · 275 citations
Fluid flow approximation of PEPA models
Jane Hillston · 2005 · 268 citations
Engineering, Computational Engineering, Systems Engineering +14
R. J. Martin · IEEE Transactions on Signal Processing · 2000 · 205 citations
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169

University of Edinburgh
Edinburgh, United Kingdom
20 h-index
59 publications
2.2K citations

Imperial College London
London, United Kingdom
13 h-index
34 publications
1.1K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
9 h-index
12 publications
270 citations
Ludwig-Maximilians-Universität München
Munich, Germany
8 h-index
13 publications
306 citations

University of Twente
Enschede, The Netherlands
8 h-index
20 publications
596 citations

University of Trieste
Trieste, Italy
7 h-index
7 publications
163 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
7 h-index
11 publications
463 citations

University of Bologna
Bologna, Italy
6 h-index
8 publications
204 citations
1–8 of 169
15 publications · 912 citations
13
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14 publications · 585 citations
13
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ENTCS · 7 publications · 234 citations
7
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Repository · 4 publications · 151 citations
4
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4 publications · 113 citations
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