Modeling and Computer Simulation - Impact Factor

ACM Transactions on Modeling and Computer Simulation | 2024 Impact Factor:1.9 | Cite Score:2.8 | Q3

ACM Transactions on Modeling and Computer Simulation Journal

Impact Factor and Journal Rank of ACM Transactions on Modeling and Computer Simulation

About: ACM Transactions on Modeling and Computer Simulation (TOMACS) is a peer-reviewed journal that publishes research articles, reviews, and technical notes related to modeling and computer simulation. It serves as a platform for researchers, practitioners, and educators to exchange ideas and advancements in simulation methodologies, techniques, and applications.
Objective:
The primary objective of TOMACS is to promote the understanding and development of modeling and computer simulation techniques. It aims to publish high-quality research that contributes to the theoretical foundations, practical methodologies, and innovative applications of simulation across various domains.
Interdisciplinary Approach:
TOMACS often adopts an interdisciplinary approach, welcoming contributions that integrate simulation techniques with fields such as computer science, engineering, operations research, social sciences, and more. This approach encourages collaboration and facilitates the development of simulation models that address complex real-world problems.
Impact:
The journal is impact lies in its contributions to advancing simulation technology and methodology. By publishing research that explores new simulation techniques, validates models, and applies simulations to real-world scenarios, TOMACS influences both academic research and practical applications.
Significance:
For researchers, practitioners, and educators involved in modeling and computer simulation, TOMACS provides a valuable resource for accessing state-of-the-art research, methodologies, and applications. Its publications support advancements in areas such as simulation optimization, validation, verification, and the integration of simulation with emerging technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Wentong Cai

Scope: The ACM Transactions on Modeling and Computer Simulation (TOMACS) is a prestigious journal focusing on advancements in modeling and simulation methodologies across various disciplines. Here is an overview of its scope and the topics covered:
Modeling Methodologies:
Research on formal and computational models used in simulation. This includes studies on discrete-event simulation, agent-based modeling, system dynamics, stochastic modeling, hybrid systems modeling, and mathematical modeling approaches.
Simulation Techniques:
Research on simulation algorithms and techniques. This includes studies on simulation optimization, parallel and distributed simulation, Monte Carlo methods, simulation-based design and analysis, sensitivity analysis, and uncertainty quantification.
Simulation Languages and Tools:
Research on simulation programming languages and software tools. This includes studies on high-level architecture (HLA), simulation frameworks, simulation environments (such as Simulink), graphical modeling tools, and interoperability standards in simulation.
Applications of Simulation:
Research on the application of simulation in various domains. This includes studies on healthcare simulation, transportation simulation, manufacturing simulation, military simulation, environmental modeling, social systems simulation, and simulation in emergency response.
Verification and Validation:
Research on verification and validation techniques in simulation. This includes studies on model verification, model validation, uncertainty analysis, experimental design in simulation studies, and validation of simulation results against real-world data.
Simulation-based Decision Support:
Research on using simulation for decision-making and policy analysis. This includes studies on simulation-based optimization, decision theory, risk analysis, scenario analysis, and simulation for resource allocation and planning.
Emerging Trends and Applications:
Research on emerging trends in modeling and simulation methodologies. This includes studies on digital twins, cyber-physical systems simulation, Internet of Things (IoT) simulation, virtual reality and augmented reality simulation, and simulations in emerging technologies.
Evaluation and Benchmarking:
Research on evaluating simulation models and benchmarking simulation techniques. This includes studies on performance metrics, comparison of simulation methodologies, case studies, and best practices in simulation modeling.