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.

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.

MODELING 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.

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.

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.

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.

Nonlinear Engineering - Modeling and Application is a premier journal dedicated to advancing the fields of engineering, modeling, and simulation, published by De Gruyter Poland Sp. z o.o. since 2012. With an impressive impact factor reflected in its prestigious rankings—Q2 in Chemical Engineering and Miscellaneous Engineering and Q3 in Computer Networks and Communications—this journal serves as an invaluable resource for researchers and practitioners seeking to explore the intricacies of nonlinear systems and their applications. As an Open Access journal since 2019, it ensures that groundbreaking research is readily available to the global community, fostering collaboration and innovation. Situated at the forefront of its field, Nonlinear Engineering provides high-quality, peer-reviewed articles that contribute to understanding complex phenomena in various engineering disciplines, making it an essential publication for those eager to stay on the cutting edge of technology and research.

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.

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.

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.