ACM Transactions on Modeling and Computer Simulation

Scope & Guideline

Pioneering Research in Modeling and Simulation Excellence.

Introduction

Explore the comprehensive scope of ACM Transactions on Modeling and Computer Simulation through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore ACM Transactions on Modeling and Computer Simulation in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1049-3301
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1991 to 2024
AbbreviationACM T MODEL COMPUT S / ACM Trans. Model. Comput. Simul.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

ACM Transactions on Modeling and Computer Simulation focuses on the development and application of modeling and simulation methodologies across various domains, emphasizing computational techniques and their practical implications.
  1. Stochastic Modeling and Simulation:
    The journal extensively covers stochastic models that involve randomness and uncertainty, applying these models to areas such as queueing systems, network protocols, and optimization problems.
  2. Simulation Optimization:
    A significant focus is on methods that optimize simulation parameters and outputs, including techniques such as Bayesian optimization and Monte Carlo methods.
  3. High-Dimensional and Complex Systems:
    Research addressing high-dimensional systems, including discrete optimization and adaptive systems, is prevalent, emphasizing the need for sophisticated simulation frameworks.
  4. Algorithm Development and Frameworks:
    The journal showcases innovative algorithms and frameworks for simulation, including new computational techniques for improving efficiency and accuracy in simulations.
  5. Interdisciplinary Applications:
    The journal integrates modeling and simulation techniques across various fields such as healthcare, transportation, and cyber-physical systems, reflecting its broad applicability.
Recent publications indicate a shift towards innovative methodologies and applications, highlighting emerging themes that are gaining traction within the journal.
  1. Reinforcement Learning in Simulation:
    There is a growing emphasis on integrating reinforcement learning with simulation platforms, reflecting the increasing relevance of machine learning techniques in optimizing complex systems.
  2. Digital Twins and Intelligent Systems:
    Research on digital twins and their application in intelligent systems is on the rise, signaling a trend towards leveraging real-time data for enhanced modeling and simulation.
  3. Bayesian Methods and Uncertainty Quantification:
    Bayesian approaches are becoming more prominent, particularly in quantifying uncertainty in simulations, which is crucial for decision-making in complex environments.
  4. Advanced Data-Driven Techniques:
    The emergence of data-driven simulation techniques, including the use of neural networks and generative models, is transforming how simulations are developed and optimized.
  5. Simulation in Emergency Management and Healthcare:
    There is an increasing trend towards applying simulation methodologies in critical areas such as emergency evacuations and healthcare service operations, emphasizing their societal impact.

Declining or Waning

As the journal evolves, certain themes have shown a decline in frequency, indicating a possible waning interest or saturation in specific areas of research.
  1. Traditional Queueing Theory:
    While still relevant, traditional queueing models have seen a decrease in focus as newer, more complex systems and methodologies emerge that better reflect real-world scenarios.
  2. Basic Monte Carlo Techniques:
    Basic Monte Carlo methods are gradually being overshadowed by advanced probabilistic methods and hybrid approaches that offer improved efficiency and accuracy.
  3. Static Simulation Models:
    There is a noticeable decline in the publication of static simulation models as researchers increasingly turn to dynamic and adaptive models that better capture the complexities of modern systems.
  4. General Surveys and Reviews:
    The prevalence of broad survey papers has diminished, with a shift towards more specialized, practical research that emphasizes innovative methodologies and case studies.
  5. Classic Optimization Techniques:
    Classic optimization strategies are seeing reduced emphasis as more adaptive and machine learning-based optimization methods gain traction in simulation contexts.

Similar Journals

Computational and Mathematical Methods

Innovating Solutions Through Computational Insights
Publisher: WILEY-HINDAWIISSN: Frequency: 1 issue/year

Computational and Mathematical Methods is a dynamic peer-reviewed journal published by Wiley-Hindawi, focusing on innovative research in the fields of computational mathematics, mechanics, and theory. Since its transition to an Open Access format in 2022, the journal has enhanced its accessibility to researchers and practitioners globally, providing a platform for the dissemination of high-quality studies that contribute to emerging developments in mathematical modeling and computational techniques. Based in the United Kingdom, this journal is committed to fostering collaboration amongst scholars, evidenced by its rankings within Scopus: Q3 in computational mathematics, computational mechanics, and computational theory and mathematics, reflecting its relevance and influence within these critical fields. With an emphasis on interdisciplinary studies, Computational and Mathematical Methods is an essential resource for researchers, professionals, and students seeking to expand their knowledge and apply cutting-edge methodologies to practical challenges.

Journal of Physics-Complexity

Innovating Research at the Intersection of Technology and Complexity
Publisher: IOP Publishing LtdISSN: Frequency: 4 issues/year

The Journal of Physics-Complexity, published by IOP Publishing Ltd, is a premier open access journal that has been making significant strides in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems since its establishment in 2020. Operating from the United Kingdom, this journal aims to foster interdisciplinary research that bridges theoretical and applied aspects of complexity science. With an admirable Q2 ranking in four prestigious categories and a Scopus ranking indicating it holds a solid position within its fields, this journal caters to a diverse audience of researchers, professionals, and students eager to explore the intricacies of complex systems. Its open access model ensures that groundbreaking research is readily available to the global community, thereby enhancing the dissemination of knowledge and information. As it converges towards 2024, the Journal of Physics-Complexity is poised to expand its influence, inviting innovative contributions that challenge conventional thinking and push the boundaries of scientific discovery.

STOCHASTIC MODELS

Driving scholarship in statistics and probability.
Publisher: TAYLOR & FRANCIS INCISSN: 1532-6349Frequency: 4 issues/year

STOCHASTIC MODELS, published by Taylor & Francis Inc, is a reputable journal dedicated to the field of applied mathematics, particularly focusing on the realms of modeling and simulation, as well as statistics and probability. With an ISSN of 1532-6349 and an E-ISSN of 1532-4214, the journal has made a notable impact since its inception in 2002 and is recognized for contributing valuable research until 2024. A Q3 ranking in 2023 within the categories of Applied Mathematics and Modeling & Simulation, alongside a Q4 ranking in Statistics and Probability, underscores its significant role in advancing scholarship in these areas, despite the competitive landscape. While not an Open Access journal, it offers an array of access options to cater to its diverse readership comprised of researchers, professionals, and students. Situated in the United States, STOCHASTIC MODELS serves as a critical platform for disseminating innovative ideas, methodologies, and applications that drive forward the understanding of complex stochastic phenomena.

SIAM-ASA Journal on Uncertainty Quantification

Unraveling the complexities of uncertainty in modern science.
Publisher: SIAM PUBLICATIONSISSN: 2166-2525Frequency: 4 issues/year

The SIAM-ASA Journal on Uncertainty Quantification, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of uncertainty quantification across various disciplines, including applied mathematics, statistics, and simulation modeling. With an impressive impact factor that places it in the Q1 quartile in multiple categories such as Applied Mathematics and Statistics and Probability, this journal represents the pinnacle of research quality and relevance. Established in 2013, it has garnered a significant readership and citation rate, reaffirming its critical role in addressing complex uncertainty challenges in modern science and engineering. Although not an open access journal, it provides a platform for rigorous peer-reviewed articles that offer insightful methodologies and applications vital to both research and industry practices. Researchers, professionals, and students will find in its pages a wealth of knowledge that drives the future of quantitative analysis, modeling, and problem-solving in uncertain environments.

Journal of Simulation

Charting New Paths in Modeling and Engineering Excellence
Publisher: TAYLOR & FRANCIS LTDISSN: 1747-7778Frequency: 4 issues/year

Journal 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.

Modelling and Simulation in Engineering

Catalyzing Innovation in Engineering and Computer Science
Publisher: HINDAWI LTDISSN: 1687-5591Frequency: 1 issue/year

Modelling and Simulation in Engineering is a pioneering open-access journal, published by HINDAWI LTD, and established in 2007. With a focus on advancing the fields of engineering, computer science applications, and modeling and simulation, this esteemed journal serves as a vital platform for researchers, professionals, and students alike. The journal has made significant strides in its academic contributions, reflected in its current categorization within the Q3 quartile in Computer Science Applications, Engineering (miscellaneous), and Modeling and Simulation as of 2023. With a Scopus ranking of 133 out of 307 in General Engineering and 183 out of 324 in Mathematics' Modeling and Simulation, it emphasizes the crucial interplay between theoretical research and practical applications. Each article published in Modelling and Simulation in Engineering undergoes a rigorous peer-review process, ensuring high-quality research dissemination. By maintaining an open-access format, the journal promotes global collaboration and accessibility, supporting the dissemination and advancement of engineering knowledge worldwide. With its headquarters located in the United States, the journal is truly positioned at the convergence of innovation and research.

SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL

Transforming Ideas into Insightful Simulations
Publisher: SAGE PUBLICATIONS LTDISSN: 0037-5497Frequency: 12 issues/year

SIMULATION-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.

COMPUTER PHYSICS COMMUNICATIONS

Navigating the Intersection of Technology and Physics
Publisher: ELSEVIERISSN: 0010-4655Frequency: 12 issues/year

COMPUTER PHYSICS COMMUNICATIONS is a premier journal published by Elsevier, renowned for its contributions to the fields of computer science and physics. With an ISSN of 0010-4655 and an E-ISSN of 1879-2944, this journal has established itself over the decades, beginning its journey in 1969 and running through 2025, fostering innovative research and discussions. Recognized for its high impact, it sits in the Q1 quartile for both Hardware and Architecture as well as for miscellaneous Physics and Astronomy, underscoring its significance in the academic community. The journal's Scopus rankings further reflect its prestige, with a rank of #12 out of 177 in Computer Science and #18 out of 243 in Physics and Astronomy, placing it in the top percentiles of its field. Although it does not currently offer Open Access options, COMPUTER PHYSICS COMMUNICATIONS remains a vital resource for researchers, professionals, and students seeking to advance their knowledge and contribute to the ongoing dialogue in computer physics and its myriad applications.

EPJ Data Science

Pioneering Methodologies for Tomorrow's Data Challenges
Publisher: SPRINGERISSN: Frequency: 1 issue/year

EPJ Data Science is a prominent open-access journal affiliated with SPRINGER, dedicated to disseminating high-quality research in the fields of Computational Mathematics, Computer Science Applications, and Modeling and Simulation. Established in 2012, this journal provides a scholarly platform for innovative ideas and methodologies aimed at advancing data science, bridging gaps between theoretical foundations and practical applications. With impressive rankings, including Q1 in Modeling and Simulation and Q2 in both Computational Mathematics and Computer Science Applications as of 2023, EPJ Data Science is recognized for its significant contributions to academia, evidenced by its strong performance in Scopus rankings. The journal is committed to open access, ensuring that research is accessible to a global audience, thereby enhancing collaboration and interdisciplinary communication. Located at One New York Plaza, Suite 4600, New York, NY 10004, United States, it serves as a hub for researchers, professionals, and students eager to share and explore pioneering developments in data science.

SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS

Fostering Dialogue Between Theory and Application.
Publisher: SIAM PUBLICATIONSISSN: 1536-0040Frequency: 4 issues/year

SIAM Journal on Applied Dynamical Systems, published by SIAM Publications, stands as a premier platform for disseminating vital research in the fields of applied dynamical systems, analysis, and modeling and simulation. With a commendable impact factor reflecting its scholarly influence, this journal ranks in the Q1 category for both analysis and modeling/simulation in 2023, positioning it among the top resources in these disciplines. Enthusiastic researchers, professionals, and students will benefit from its rigorous peer-reviewed content that spans innovative methodologies and applications in various scientific domains. Since its inception in 2002 and continuing through 2024, the journal aims to bridge theoretical insights with practical challenges, facilitating advancements that drive progress in dynamical systems research. Contributors and readers alike can expect to engage with high-quality articles that foster meaningful dialogue, making this journal an indispensable resource for the academic community.