Embedded Markov Chain Analysis
Embedded Markov Chain Analysis is a stochastic modeling technique that belongs to the class of Markovian analytical methods, distinguished by its focus on analyzing bulk service queueing systems through the examination of system states at specific, discrete time points—typically instants of customer arrivals or service completions—where transitions are governed by probabilistic rules conditional on the batch processing of customers.
97
Publications
4.1K
Citations
185
Authors
121
Institutions
Publications per year
2017–2026
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Korea Advanced Institute of Science and Technology, South Korea
2 publications · 31 citations
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University of Delaware
Newark, United States
5 h-index
5 publications
100 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
4 h-index
8 publications
103 citations
Fuyang Normal University
Fuyang, China
3 h-index
5 publications
101 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
3 publications
132 citations
Technische Universität Berlin
Berlin, Germany
3 h-index
3 publications
99 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
3 h-index
4 publications
81 citations

University of Nottingham
Nottingham, United Kingdom
2 h-index
4 publications
202 citations
KIIT University
Bhubaneswar, India
2 h-index
2 publications
38 citations
1–8 of 121
AAP · 9 publications · 316 citations
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JAP · 5 publications · 117 citations
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4 publications · 277 citations
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4 publications · 211 citations
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4 publications · 213 citations
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