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International Journal of Modelling and Simulation - Taylor and Francis | 2024 Impact Factor: 3.9 | Cite Score:8.5 | Q1

International Journal of Modelling and Simulation With Cite Score

Cite Score and Journal Rank of International Journal of Modelling and Simulation

  • About: The International Journal of Modelling and Simulation (IJMS) is a peer-reviewed journal that focuses on the development and application of models and simulations across various scientific and engineering disciplines. It covers a wide range of topics including mathematical modeling, computational simulations, system dynamics, and the use of models in decision-making and problem-solving. The journal aims to provide a platform for researchers to present their work on new methodologies, applications, and theoretical advancements in modeling and simulation.
  • Objective: The primary objective of IJMS is to advance the field of modeling and simulation by publishing high-quality research that contributes to the development of new models, techniques, and applications. The journal seeks to explore innovative approaches to modeling complex systems, improve the accuracy and efficiency of simulations, and address practical challenges in various domains. IJMS aims to support the dissemination of knowledge and foster the exchange of ideas among researchers and practitioners involved in modeling and simulation.
  • Interdisciplinary Approach: IJMS adopts an interdisciplinary approach, encouraging contributions from diverse fields such as engineering, computer science, applied mathematics, physics, and social sciences. This approach ensures a comprehensive exploration of modeling and simulation issues, integrating theoretical, computational, and practical perspectives. By fostering interdisciplinary research, the journal aims to address complex problems and promote the development of innovative solutions that span multiple disciplines.
  • Impact: The journal has a significant impact on both academic research and practical applications in modeling and simulation. It is widely cited by researchers, engineers, and industry professionals seeking to understand and implement the latest advancements in modeling techniques and simulation methodologies. The research published in IJMS contributes to the development of new models, tools, and best practices, influencing the design and implementation of simulations in various scientific and engineering contexts. The journal also serves as a valuable resource for educators and students in the fields of modeling and simulation.
  • Significance: IJMS plays a crucial role in advancing the study and application of modeling and simulation by publishing high-quality research that addresses key challenges and explores new opportunities. Its contributions support the development of effective and accurate models and simulations that enhance our understanding of complex systems and improve decision-making processes. The journals interdisciplinary focus and commitment to excellence make it an essential resource for anyone involved in the research, development, and application of modeling and simulation techniques.

  • Editor-in-Chief:  Professor Jie Shen

  • Scope: The International Journal of Modelling and Simulation covers a wide range of topics related to modeling and simulation in various domains. Its scope includes, but is not limited to:
  • Mathematical Modeling: Development and analysis of mathematical models for simulating real-world systems, including differential equations, algebraic equations, and statistical models.
  • Simulation Techniques: Methods and algorithms for simulating complex systems, including discrete event simulation, continuous simulation, and hybrid approaches.
  • Computational Methods: Computational techniques and algorithms for solving models, including numerical methods, optimization algorithms, and high-performance computing.
  • System Dynamics: Modeling and simulation of dynamic systems, including feedback loops, time delays, and dynamic behavior in various contexts.
  • Discrete Event Simulation: Techniques for simulating systems with discrete events, including queuing systems, manufacturing processes, and service systems.
  • Agent-Based Modeling: Simulation of systems composed of interacting agents, including social, economic, and ecological systems.
  • Simulation of Complex Systems: Methods for modeling and simulating complex, nonlinear, and multi-scale systems, including interactions between multiple components.
  • Data-Driven Modeling: Approaches to modeling and simulation that leverage data-driven techniques, including machine learning, data assimilation, and statistical inference.
  • Optimization and Control: Techniques for optimizing and controlling systems through simulation, including parameter tuning, control strategies, and performance evaluation.
  • Simulation in Engineering: Applications of modeling and simulation in engineering disciplines, including mechanical, electrical, civil, and aerospace engineering.
  • Simulation in Healthcare: Use of modeling and simulation in healthcare settings, including patient simulations, medical imaging, and health system management.
  • Environmental and Ecological Modeling: Simulation of environmental and ecological systems, including climate modeling, ecosystem dynamics, and environmental impact assessment.
  • Financial and Economic Modeling: Techniques for modeling and simulating financial and economic systems, including market behavior, risk assessment, and economic forecasting.
  • Transportation and Logistics Simulation: Modeling and simulation of transportation and logistics systems, including traffic flow, supply chain management, and logistics optimization.
  • Education and Training: Use of simulation for educational and training purposes, including simulation-based learning, virtual laboratories, and training simulators.
  • Simulation Software and Tools: Development and evaluation of software and tools for modeling and simulation, including simulation frameworks, libraries, and user interfaces.
  • Validation and Verification: Techniques for validating and verifying models and simulations, including model accuracy, reliability, and robustness.
  • Case Studies and Applications: Real-world case studies demonstrating the application of modeling and simulation in various fields, including industry, research, and policy.
  • Theoretical Foundations: Advances in the theoretical aspects of modeling and simulation, including new methodologies, paradigms, and mathematical foundations.
  • The journal provides a platform for researchers, practitioners, and educators to share their work on modeling and simulation, fostering the development and application of these techniques across various domains.
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  • Print ISSN:  02286203

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  3.9

  • Subject Area and Category:   Computer Science, Hardware and Architecture, Software, Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials, Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  25

  • Best Quartile:

    Q1:  

    Q2:   Electrical and Electronic Engineering

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  • Cite Score:  8.5

  • SNIP:  1.054

  • Journal Rank(SJR):  0.482