System Dynamics Review

SJR Rank #4,210H-index: 72SJR: 1.097Best quartile: Q1APC: US$3,270
Journal website: aims, scope and author guidelines
Publisher

John Wiley and Sons Ltd

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.30.60.91.2

Subject Categories

  • Management of Technology and InnovationQ1
  • Modeling and SimulationQ1
  • Social Sciences (miscellaneous)Q1
  • Strategy and ManagementQ1

Areas: Business, Management and Accounting · Mathematics · Social Sciences

Most published research topics

Complex Systems and Decision MakingCognitive Science and MappingInnovation Diffusion and ForecastingSustainability and Ecological Systems AnalysisHuman auditory perception and evaluationEducational Robotics and EngineeringSimulation Techniques and ApplicationsChaos, Complexity, and EducationDiverse Scientific and Economic StudiesInnovation and Knowledge Management

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs020406080

Documents per Year

2022202505101520

Detailed Information

ISSN

1099-1727, 0883-7066

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.48

References per Document

38.75

Coverage

1985-2026

Scope

System Dynamics Review exists to communicate to a wide audience advances in the application, methods and tools of the system dynamics approach. In its broadest sense, the system dynamics approach encompasses model-based analysis of dynamic problems with a systems approach, focusing on endogenous, structural sources of the dynamics of interest. Depending on the characteristics of a given problem, different modeling tools, methods and software can be used with this endogenous dynamic perspective. Applications include social, technical, managerial, business, economic, health, biological, ecological and environmental problems, among others. The publication goals of Review include but are not limited to: advances in modelling and simulation methods for dynamic feedback problems; advances in policy analysis methods based on feedback causality; modeling applications in diverse domains; generic structures (feedback structures that support widely applicable behavioural insights); system dynamics contributions to theory building in the social and natural sciences; contributions to the analysis, and applications of complex nonlinear dynamics; policy studies and debate emphasizing the role of feedback causality in dynamic problems of concern; developments in strategies for simulation-based consulting and implementation of model-based policy suggestions; advances in methods and applications of systems thinking relevant to dynamic feedback problems; contributions to system dynamics education and teaching.

Metrics from SCImago Journal Rank 2025. View on SCImago