Queueing Theory
Queueing Theory is a branch of applied probability that studies mathematical models of systems where entities arrive randomly to receive service, with emphasis on the analysis of congestion, waiting times, and resource utilization under stochastic dynamics.
27.5K
Publications
1.4M
Citations
32.3K
Authors
5K
Institutions
Publications per year
2017–2026
3.8K
27.5K
1–5 of 27.5K
32.3K
77
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Institut national de recherche en sciences et technologies du numérique, France
95 publications · 4.1K citations
37
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37
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1–5 of 32.3K
5K
Massachusetts Institute of Technology
Cambridge, United States
104 h-index
828 publications
69K citations
University of California, Berkeley
Berkeley, United States
103 h-index
695 publications
74.8K citations
AT&T (United States)
Bedminster, United States
101 h-index
800 publications
65.6K citations
Columbia University
New York, United States
99 h-index
714 publications
46.9K citations
Stanford University
Stanford, United States
97 h-index
615 publications
64.7K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
82 h-index
493 publications
44.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
79 h-index
568 publications
38K citations
Nokia (United States)
Coppell, United States
77 h-index
398 publications
29.9K citations
1–8 of 5K
783 publications · 63.7K citations
126
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TON · 542 publications · 64.1K citations
111
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396 publications · 37.5K citations
105
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404 publications · 31.6K citations
103
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233 publications · 21.7K citations
83
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