Journal of Simulation

Aims & Scope

Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation.

In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.

We are also interested in models that are hybrids of these approaches.

JOS encourages theoretical papers that span the breadth of the simulation process, including both modelling and analysis methodologies, as well as practical papers from a wide range of simulation applications in domains including, manufacturing, service, defence, health care and general commerce.

JOS will particularly seek topics that are not "mainstream" in nature but interesting and evocative to the simulation community as outlined above.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.7
2024	1.30

Journal Rank

Year	Value
2024	14973

Journal Citation Indicator

Year	Value
2024	257

SJR (SCImago Journal Rank)

Year	Value
2024	0.356

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	34

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences, Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Tutorial on agent-based modelling and simulation

  Citation: 1124

  Authors: C M, M J

• Verification and validation of simulation models

  Citation: 704

  Authors: R G

• Discrete event simulation for performance modelling in health care: a review of the literature

  Citation: 410

  Authors: M M, M

• Everything you need to know about agent-based modelling and simulation

  Citation: 327

  Authors: C M

• How simulation modelling can help reduce the impact of COVID-19

  Citation: 316

  Authors: Christine S.M., John W., Kathy, Thomas, Bhakti Stephan, Duncan A., Antuela A.

• An analysis of the academic literature on simulation and modelling in health care

  Citation: 294

  Authors: S C, P R, B, M

• Discrete-event simulation is dead, long live agent-based simulation!

  Citation: 263

  Authors: P O, C M, J, D, M

• Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines

  Citation: 167

  Authors: Thomas, Christine S. M., Bhakti Stephan, Stewart, Martin, Simon J. E.

• Virtual reality for medical training: the state-of-the-art

  Citation: 141

  Authors: G S, K J

• Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties

  Citation: 121

  Authors: G, M, B

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