Semi-markov Reliability Models
Semi-Markov Reliability Models is a stochastic reliability modeling framework that extends Markovian reliability models by incorporating general sojourn time distributions, thereby allowing state transition times to follow arbitrary probability distributions while maintaining the Markov property only at transition epochs.
197
Publications
6.9K
Citations
295
Authors
172
Institutions
Publications per year
2017–2026
30
Parents
197
1–5 of 197
295
13
h-index
9
h-index
8
h-index
7
h-index
7
h-index
1–5 of 295
172
Université de Technologie de Compiègne
Compiègne, France
12 h-index
16 publications
895 citations
Duke University
Durham, United States
12 h-index
16 publications
1.6K citations

Langley Research Center
Hampton, United States
10 h-index
12 publications
270 citations

Aston University
Birmingham, United Kingdom
7 h-index
7 publications
150 citations
Gdynia Maritime University
Gdynia, Poland
6 h-index
11 publications
350 citations

University of Chieti-Pescara
Chieti, Italy
6 h-index
6 publications
118 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
5 h-index
7 publications
774 citations

Sapienza University of Rome
Rome, Italy
5 h-index
7 publications
281 citations
1–8 of 172
20 publications · 563 citations
16
h-index
15 publications · 1.2K citations
13
h-index
Repository · 5 publications · 101 citations
5
h-index
IJRQSE · 5 publications · 104 citations
5
h-index
5 publications · 128 citations
5
h-index
1–5