Queueing Models and Service Management
Published by Kaoyian Press
ISSN : 2616-2679 eISSN : 2616-2687
Abbreviation : Queueing Model. Serv. Manag.
Aims & Scope
Queueing Models and Service Management (QMSM) is an international refereed journal devoted to the publication of original research papers specializing in queueing systems, queueing networks, reliability and maintenance, service system optimization, service management, and applications in queueing models or networks.
The journal publishes theoretical papers using analytical methods or developments of significant methodologies.
QMSM publishes works of originality, quality and significance, with particular emphasis given to practical results.
Practical papers, illustrating the applications of queueing and service management problems, are of special interest.
QMSM does not charge any Article-Processing Charge (APC) and is committed to disseminating high-quality research, in the area of queueing modeling and service management, to broad spectrum of audiences.
It is an open-access journal and gives unprecedented global access to all the researchers, research and development organizations, and companies from its website.
Authors can ensure that their research is freely available online and downloadable by everyone, freely redistributed, and can be reused.
Our website preserves all the published articles as a scientific record.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.146 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q4 |
h-index
| Year | Value |
|---|---|
| 2024 | 6 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 24873 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 12 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.