Queueing Systems: Theory and Applications (QUESTA) is a well-established journal focusing on the theory of resource sharing in a wide sense, particularly within a network context. The journal is primarily interested in probabilistic and statistical problems in this setting.

QUESTA welcomes both papers addressing these issues in the context of some application and papers developing mathematical methods for their analysis. Among the latter, one would particularly quote Markov chains and processes, stationary processes, random graphs, point processes, stochastic geometry, and related fields.

The prospective areas of application include, but are not restricted to production, storage and logistics, traffic and transportation, computer and communication systems.

Officially cited as: Queueing Syst.

  • Publishes research on theoretical problems in resource sharing dynamics (in a broad sense), with particular interests in probability and statistics
  • Publishes rigorous applied probability research, with a broad range of applications, to computer and communication systems, traffic and transportation, and production, storage and logistics, among others
  • Offers timely and topical surveys on novel problems in queueing systems and stochastic networks arising from cutting edge applications

Journal information

Editor-in-Chief
  • Sergey Foss
Publishing model
Hybrid. Open Access options available

Journal metrics

0.814 (2018)
Impact factor
0.953 (2018)
Five year impact factor
67 days
Submission to first decision
361 days
Submission to acceptance
43,669 (2018)
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Latest issue

Volume 94

Issue 3-4, April 2020, Pages 211 - 420

The Volume includes a Special Section on "Analytical and Computational Methods in Probability"

Latest articles

This journal has 97 open access articles

Journal updates

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    Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1572-9443
Print ISSN
0257-0130
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