CMES-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.

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.

RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, published by WALTER DE GRUYTER GMBH in Germany, is a vital resource for researchers and practitioners in the fields of numerical analysis, mathematical modeling, and computational mathematics. With an ISSN of 0927-6467 and an E-ISSN of 1569-3988, this journal has been disseminating significant findings since its inception in 1986 and continues to do so into 2024. Despite its current position in Q4 category quartiles and modest Scopus rankings, it provides a platform for innovative research that contributes to the evolution of modeling and simulation techniques. The journal is committed to fostering an understanding of complex numerical methods and their applications across various scientific disciplines. Although it does not provide Open Access options, it remains a key publication that underscores the importance of rigorous mathematical analysis and its practical implications in today's technology-driven world.

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.

MULTISCALE MODELING & SIMULATION, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of multiscale modeling across various domains including chemistry, computer science, ecological modeling, and physics. With an impressive impact factor, this journal consistently ranks in the Q1 category for diverse disciplines, underscoring its outstanding contribution to the scientific community. The journal's scope encompasses innovative simulation techniques and theoretical advancements that aim to bridge the gaps between different scales of physical phenomena, making it an essential resource for researchers, professionals, and students alike. Though it does not currently offer open access, its rigorous peer-review process ensures that only the highest quality research is disseminated. Covering a dynamic range of topics from 2003 through 2024, MULTISCALE MODELING & SIMULATION remains a vital platform for interdisciplinary collaboration and exploration in the rapidly evolving landscapes of science and engineering.

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.

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 Dynamics and Games is a premier publication dedicated to advancing the fields of Applied Mathematics, Modeling and Simulation, and Statistics and Probability. Published by the American Institute of Mathematical Sciences (AIMS), this journal serves as a critical platform for researchers, professionals, and students to disseminate innovative theoretical findings and practical applications. With an ISSN of 2164-6066 and an E-ISSN of 2164-6074, it has gained recognition within its field, currently positioned in the Q3 quartile across various categories according to the latest evaluations from 2023. This multidisciplinary journal, running from 2014 to 2024, allows for a rich exchange of ideas and promotes the integration of mathematical theories in complex dynamical systems and games. Although it does not offer an open access option, its rigorous peer-review process ensures high-quality research papers, fostering an academic environment conducive to innovation and collaboration.

Fractal and Fractional is a prestigious open access journal published by MDPI since 2017, dedicated to advancing the study of fractals and fractional calculus, crucial fields that bridge mathematics, physics, and engineering. With an E-ISSN of 2504-3110 and based in Switzerland, this journal serves as a vital platform for disseminating cutting-edge research and innovative applications. As of 2023, it holds an impressive Q2 quartile ranking in multiple categories including Analysis, Statistical and Nonlinear Physics, and Statistics and Probability, placing it among the top tier of academic publications. Researchers will find valuable insights into contemporary issues within its scope, supported by robust metrics such as Scopus rankings which highlight its significant impact in the fields of Mathematics and Physics. Since its inception, Fractal and Fractional has garnered a reputation for quality and accessibility, making it an essential resource for academics and practitioners engaged in the exploration of complex systems and mathematical phenomena.

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.