International Journal of Simulation Modelling
Scope & Guideline
Advancing the Frontiers of Simulation Science
Introduction
Aims and Scopes
- Simulation Methodologies:
The journal extensively covers various simulation methodologies including discrete event simulation, agent-based modeling, and system dynamics, highlighting their application in real-world scenarios. - Optimization Techniques:
A significant focus is placed on optimization techniques used alongside simulation models to enhance decision-making processes in manufacturing, logistics, and resource management. - Industry Applications:
The journal features applications of simulation in various industries such as manufacturing, transportation, healthcare, and urban planning, demonstrating the versatility and practical implications of simulation models. - Digital Twins and IoT Integration:
Recent publications have increasingly addressed the integration of digital twin technology and the Internet of Things (IoT) into simulation models, reflecting the journal's commitment to contemporary technological advancements. - Sustainability and Environmental Impact:
The journal also emphasizes the importance of sustainable practices through simulation, providing insights into environmental impacts and optimization strategies for green logistics and manufacturing.
Trending and Emerging
- Digital Twin Technologies:
An increasing number of papers are exploring the application of digital twins in various industries, showcasing their potential for real-time monitoring and optimization of processes. - Artificial Intelligence and Machine Learning Integration:
There is a growing trend towards integrating artificial intelligence and machine learning techniques with simulation models, enhancing predictive capabilities and decision-making processes. - Sustainable and Green Practices:
Research focused on sustainability and environmental impacts is on the rise, with authors examining the role of simulation in promoting green logistics, waste management, and resource optimization. - Smart Manufacturing and Industry 4.0:
The journal is increasingly featuring studies on smart manufacturing practices and Industry 4.0 technologies, reflecting a shift towards automation and smart systems in production. - Complex Systems and Network Analysis:
Emerging themes in complex systems and network analysis indicate a trend towards understanding intricate interactions within and between systems, utilizing simulation to explore these dynamics.
Declining or Waning
- Traditional Manufacturing Processes:
Research focused on conventional manufacturing processes without the integration of advanced technologies like automation or IoT has decreased, indicating a shift towards more innovative and tech-driven approaches. - Basic Simulation Techniques:
There has been a decline in publications centered around basic simulation techniques, suggesting that authors are now favoring more complex and hybrid models that incorporate machine learning and optimization. - Standalone Simulation Models:
The prevalence of standalone simulation models that do not incorporate real-time data or feedback mechanisms has waned, reflecting a trend towards more dynamic and interactive simulation frameworks. - Non-Industrial Applications:
There is a noticeable decrease in non-industrial applications of simulation, such as those in social sciences or arts, as the journal increasingly focuses on industrial and technological applications.
Similar Journals
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
Bridging Theory and Practice in Engineering SciencesCMES-COMPUTER MODELING IN ENGINEERING & SCIENCES is a premier journal published by Tech Science Press, dedicated to advancing knowledge in the fields of computer science applications, modeling and simulation, and software engineering. With an impressive convergence of research from 2000 to 2024, this journal stands out as a vital resource for researchers, professionals, and students alike, fostering innovation and collaboration in computational methodologies. The journal currently holds a Q3 category ranking in multiple disciplines according to the latest metrics, including Scopus, which reflects its growing significance in the academic community. By providing a platform for high-quality research and open discourse, CMES aims to enhance the understanding of complex systems through effective modeling techniques and computational tools. Despite its current classification under open access, the journal remains a cornerstone for those looking to deepen their expertise in cutting-edge computational engineering and science.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Transforming Data into Knowledge through Statistical ExcellenceCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, published by TAYLOR & FRANCIS INC, is a pivotal journal in the fields of statistics, modeling, and simulation, catering to an audience of researchers, professionals, and students. With an ISSN of 0361-0918 and an E-ISSN of 1532-4141, this esteemed journal has been disseminating knowledge since 1976, covering a wide range of innovative methodologies and applications in statistics. Ranked in the third quartile for both Modeling and Simulation, and Statistics and Probability, as per the 2023 Category Quartiles, this journal serves as a crucial platform for advancing academic discourse and practical applications in these areas. Though not open access, it houses a wealth of peer-reviewed articles that contribute to the advancement of statistical theory and computational techniques, while its Scopus ranking positions it among the significant publications in the relevant fields. For those looking to stay at the forefront of statistical science, this journal is an invaluable resource.
Journal of Simulation
Exploring the Future of Modeling and SimulationJournal of Simulation, published by Taylor & Francis Ltd, stands as a premier academic platform, addressing the intricate intersections of Industrial and Manufacturing Engineering, Management Science and Operations Research, Modeling and Simulation, and Software. With an ISSN of 1747-7778 and an E-ISSN of 1747-7786, this journal has established itself within the academic community, reinforced by its consistent ranking in the Q2 category across multiple fields as of 2023. The journal's coverage spans from 2008 to 2024, promoting innovative research and comprehensive reviews that influence industry practices and academic knowledge alike. Researchers, students, and professionals benefit from practical insights drawn from high-quality, peer-reviewed articles. Although the journal is not open access, its robust impact in the relevant fields, including a Scopus ranking placing it in the top 20% percentile in numerous categories, highlights its importance as a resource for advancing knowledge and fostering collaboration within the global simulation and modeling community.
MODELING IDENTIFICATION AND CONTROL
Advancing Knowledge in Control and Systems EngineeringMODELING IDENTIFICATION AND CONTROL is a prominent academic journal dedicated to the fields of Computer Science Applications, Control and Systems Engineering, Modeling and Simulation, and Software. Published by MIC in Norway, this open access journal has been providing valuable insights and innovative research since 1980, promoting the free dissemination of knowledge. With a reputation reflected in its 2023 quartile rankings—Q3 in Computer Science Applications, Q2 in Control and Systems Engineering, and Modeling and Simulation, as well as Q3 in Software—this journal plays a vital role in advancing theoretical and practical solutions within its disciplines. Researchers and professionals benefit from its rigorous peer-review process and impactful publications, fostering collaboration and the exploration of emerging technologies across various applications. The journal's continual commitment to excellence is exemplified by its active presence in Scopus, where it maintains respectable rankings in relevant engineering and computer science subcategories, supporting its goal to be a pivotal resource for scholarly communication and practical advancements.
CMC-Computers Materials & Continua
Championing the evolution of advanced materials and simulation techniques.CMC-Computers Materials & Continua is a prominent academic journal published by TECH SCIENCE PRESS, specializing in the interdisciplinary realms of biomaterials, computer science applications, electrical and electronic engineering, and mechanics of materials. Established in 2004, this journal aims to foster innovative research and dialogue among experts and practitioners, making significant contributions to the fields of modeling and simulation and advanced materials science. With a commendable impact reflected in its Scopus rankings—especially standing at the 79th percentile in Mathematics: Modeling and Simulation and 50th percentile in Materials Science: Biomaterials—CMC is recognized for its rigorous selection process and scholarly publications. Researchers, professionals, and students will find value in the journal's Q2 and Q3 rankings across various categories, indicating its relevance and quality in the ever-evolving scientific landscape. Although it operates under a subscription-based model without Open Access, the journal is committed to disseminating cutting-edge advancements, driving forward the research community's collective understanding and innovation.
Modelling
Catalyzing Research in Engineering, Science, and Math.Modelling is a distinguished open access journal published by MDPI since 2020, dedicated to advancing the field of computational modeling across various scientific disciplines including Computer Science, Engineering, and Mathematics. With its base in Switzerland, the journal aims to foster a collaborative environment for researchers and practitioners while providing a platform for high-quality research on modeling and simulation techniques. As of 2023, it has garnered respectable rankings, achieving Q3 in Computer Science and Mathematics, and Q2 in Engineering, with notable Scopus values indicating an increasing impact within the academic community. Modelling not only publishes innovative research findings but also encourages the dissemination and discussion of emerging methodologies, making it a vital resource for scholars seeking to contribute to and expand the frontiers of knowledge in their respective fields. As an open access journal, it promotes unrestricted access to research outputs, ensuring greater visibility and impact for researchers and students alike.
SIMULATION MODELLING PRACTICE AND THEORY
Elevating Knowledge in Simulation Modeling Across Disciplines.SIMULATION MODELLING PRACTICE AND THEORY is a leading academic journal published by Elsevier that focuses on the dynamic and evolving fields of simulation modeling and its applications across various disciplines. Established in 2002, this journal has rapidly gained recognition within the academic community, achieving a prestigious Q1 ranking in both Hardware and Architecture, as well as Modeling and Simulation for 2023. With an impressive impact factor that reflects its significance, it offers essential insights and findings pertinent to researchers, professionals, and students alike. The journal's scope encompasses a wide array of topics, encouraging interdisciplinary collaboration and innovation. Open access options further enhance visibility and accessibility of published research, contributing to the dissemination of knowledge in this critical field. Operating from its base in Amsterdam, Netherlands, SIMULATION MODELLING PRACTICE AND THEORY continues to provide a vital platform for advancements in simulation methodologies and applications, fostering an environment where theoretical principles and practical implementation converge.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
Exploring Innovative Pathways in Computer Graphics and DesignSIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, published by SAGE Publications Ltd, is a pivotal journal in the field of computer graphics, computer-aided design, mathematics, and modeling and simulation. With an ISSN of 0037-5497 and an E-ISSN of 1741-3133, the journal has established itself as a valuable resource since its inception in 1963, boasting a diverse archive leading up to 2024. Ranked in the Q2 category for both Computer Graphics and Mathematics, as well as Q3 for Modeling and Simulation and Software, it reflects a balanced distribution of quality research across multiple disciplines. The journal promotes accessibility through various open access options, ensuring wide dissemination of innovative findings. Researchers, professionals, and students alike will find insightful peer-reviewed articles that delve into advanced simulation methodologies and their applications in real-world scenarios, reinforcing its significant impact on the evolution of the simulation and modeling landscape.
Journal of Computational Science
Bridging Theory and Application in Computational ScienceThe Journal of Computational Science, published by Elsevier, is a premier academic journal that serves as a vital platform for researchers and professionals in the fields of computer science, modeling, and simulation. With an ISSN of 1877-7503 and an E-ISSN of 1877-7511, this journal focuses on the latest advances in computational methodologies and their applications, fostering interdisciplinary dialogue and collaboration. As of 2023, it holds an impressive Q2 ranking in multiple categories, including Computer Science (miscellaneous), Modeling and Simulation, and Theoretical Computer Science, showcasing its relevance and impact within the scholarly community. The journal features comprehensive research articles, reviews, and case studies that contribute significantly to the understanding and development of computational techniques. With its high standing in Scopus rankings, including a 79th percentile ranking in Mathematics - Modeling and Simulation, the Journal of Computational Science is an essential resource for anyone seeking to advance their knowledge and research in this dynamic field.
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
Advancing Knowledge through Social SimulationJASSS - The Journal of Artificial Societies and Social Simulation, published by J A S S S, is a pioneering Open Access journal that has been at the forefront of interdisciplinary research since 1998. Focused on the interplay between artificial societies and social simulation, this journal fosters innovative research that bridges the gap between social sciences and computer science. With an impressive Impact Factor and a distinguished ranking, Q1 in both Computer Science (miscellaneous) and Social Sciences (miscellaneous), JASSS remains an essential resource for researchers, professionals, and students eager to explore the complexities of social dynamics through computational models. The journal is now accessible online, providing a platform for the dissemination of groundbreaking studies from its address at the University of Surrey, where it continues to contribute to the advancement of knowledge up to the present day. With a Scopus ranking placing it in the top 95th percentile among General Social Sciences and 89th percentile among Computer Science fields, JASSS is vital for anyone interested in understanding the simulated environments of social phenomena.