Queueing Systems - h5 Index Rating
The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles.
In 2024, Queueing Systems received the following ratings:
h5-Index | h5-Median |
19 | 26 |
Queueing Systems highlights some of these top cited articles:
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Applications of fluid models in service operations management
Noa Zychlinski
Queueing Systems 103 (November 2022) -
Analysis of a tripartite entanglement distribution switch
Philippe Nain, Gayane Vardoyan, Saikat Guha & Don Towsley
Queueing Systems 101 (January 2022) -
Asymptotic behavior of a system of two coupled queues when the content of one queue is very high
Herwig Bruneel & Arnaud Devos
Queueing Systems 105 (October 2023) -
Exact and asymptotic analysis of infinite server batch service queues with random batch sizes
Ayane Nakamura & Tuan Phung-Duc
Queueing Systems 106 (December 2023) -
How much information should be given to the strategic customers of a queueing system?
Antonis Economou
Queueing Systems 100 (March 2022)