Markov-Modulated Poisson Processes is a stochastic point process in which the arrival rate of events follows a Poisson process whose intensity is modulated by a continuous-time Markov chain that governs the transitions between different environmental states.
148
Publications
7.9K
Citations
260
Authors
160
Institutions
Publications per year
2017–2026
10
Variants
Mmpp
Parents
Publications
148
A versatile Markovian point process
Marcel F. Neuts · Journal of Applied Probability · 1979 · 797 citations
1–5 of 148
Authors
260
- YL
4
h-index
- SL
4
h-index
- RJ
4
h-index
- GM
4
h-index
- YE
4
h-index
1–5 of 260
Institutions
160
The University of Melbourne
Melbourne, Australia
7 h-index
8 publications
273 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
6 h-index
12 publications
409 citations
Columbia University
New York, United States
5 h-index
5 publications
200 citations
George Mason University
Fairfax, United States
5 h-index
8 publications
218 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
97 citations
Concordia University
Montreal, Canada
4 h-index
7 publications
231 citations
University of Calgary
Calgary, Canada
4 h-index
5 publications
151 citations
Technical University of Denmark
Kongens Lyngby, Denmark
3 h-index
4 publications
620 citations
1–8 of 160
Venues
- Journal of Applied Probability
JAP · 7 publications · 1K citations
7
h-index
- European Journal of Operational Research
5 publications · 163 citations
5
h-index
- IEEE/ACM Transactions on Networking
TON · 5 publications · 374 citations
5
h-index
- Queueing Systems
5 publications · 201 citations
5
h-index
- Advances in Applied Probability
AAP · 4 publications · 928 citations
4
h-index
1–5