Computation, published by MDPI, is an esteemed open-access journal that has been contributing to the fields of applied mathematics and computer science since its inception in 2013. With an E-ISSN of 2079-3197, this Swiss-based journal operates under a philosophy of free knowledge dissemination, allowing researchers, professionals, and students globally to access high-quality content without financial barriers. Recognized for its rigorous peer-review process, Computation is currently categorized in the Q2 and Q3 quartiles across significant domains, including Applied Mathematics (#181/635), Theoretical Computer Science (#52/130), and Modeling and Simulation (#138/324). As it converges towards 2024, the journal continues to attract innovative and impactful research aimed at advancing theoretical frameworks and practical applications within these disciplines. Joining the Computation community not only enriches individual research portfolios but also contributes to the broader conversation on computational methodologies and their applications in solving real-world problems.

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.

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.

Acta Cybernetica, published by the University of Szeged, Faculty of Science, serves as a vital platform for researchers and practitioners in the fields of computational theory, computer science, and engineering. With an ISSN and E-ISSN of 0324-721X, this Hungarian journal has been disseminating valuable research since 1990 and is projected to continue through 2024. Although it currently holds a Q4 ranking in multiple categories—including computational theory, computer vision, and theoretical computer science—its impact lies in fostering innovative research discussions and multidisciplinary collaborations. Scholars in its specialized fields will find a wealth of insights that contribute to emerging trends and developments. While Acta Cybernetica is not an open-access journal, it remains an essential resource for advancing knowledge and practices within its academic community.

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.

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.

Eurasian Journal of Mathematical and Computer Applications, published by the prestigious L N GUMILYOV EURASIAN NATIONAL UNIVERSITY in Kazakhstan, stands as a vital platform for researchers and professionals engaging in the fields of Applied Mathematics, Computational Mathematics, Computer Science Applications, Information Systems, Mathematical Physics, and Modeling and Simulation. With its ISSN 2306-6172 and E-ISSN 2308-9822, this academic journal aims to foster innovative research and facilitate knowledge transfer in these interdisciplinary domains. The journal, which converges its endeavors from 2013 to 2024, is currently ranked Q3 across its various categories in 2023, reflecting its growing influence and commitment to academic excellence. Despite its open access availability, the journal's dedication to quality research is evident as it attracts contributions that not only advance theoretical understanding but also address practical applications. With a supportive community of researchers in an increasingly important field, the Eurasian Journal of Mathematical and Computer Applications is poised to remain a significant resource for those seeking to propel the boundaries of mathematical and computational sciences.

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.

The 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.

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.