Markovian Network Models
Markovian Network Models is a stochastic network model characterized by the Markov property, wherein the future state of the network evolves dependently only on the current state and not on the sequence of preceding states, thereby enabling tractable probabilistic analysis of dynamic network behaviors.
268
Publications
13.8K
Citations
664
Authors
352
Institutions
Publications per year
2017–2026
53
Parents
268
F. P. Kelly · The Annals of Applied Probability · 1991 · 610 citations · Full text
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Amotz Bar-Noy, I. Kessler, Moshe Sidi · Wireless Networks · 1995 · 533 citations
1–5 of 268
664
Institut national de recherche en sciences et technologies du numérique, France
4 publications · 54 citations
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3
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3
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1–5 of 664
352
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
10 h-index
18 publications
544 citations
University of Michigan
Ann Arbor, United States
6 h-index
11 publications
949 citations

Harbin Institute of Technology
Harbin, China
6 h-index
17 publications
359 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
9 publications
169 citations
Politecnico di Milano
Milan, Italy
5 h-index
7 publications
193 citations
Texas A&M University
College Station, United States
5 h-index
16 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
547 citations
TU Dortmund University
Dortmund, Germany
4 h-index
5 publications
268 citations
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8 publications · 148 citations
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6 publications · 105 citations
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Repository · 6 publications · 125 citations
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AAP · 6 publications · 142 citations
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6 publications · 189 citations
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