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.

International Journal of Simulation Modelling, ISSN 1726-4529, published by DAAAM INTERNATIONAL VIENNA, is a premier academic journal dedicated to the fields of modeling and simulation in computer science and applied mathematics. Situated in Austria and housed at the renowned TU WIEN, the journal stands out for its commitment to advancing research and dissemination of innovative simulation methodologies. With an impressive Q2 ranking in both Computer Science Applications and Modeling and Simulation categories as of 2023, it is recognized for its substantial contributions to these domains. This journal, spanning from 2005 to 2024, provides a platform for cutting-edge research that is essential for professionals, researchers, and students seeking to deepen their understanding of simulation techniques and their applications in real-world scenarios. While it is not openly accessible, its invaluable insights and research findings make it a must-read for anyone serious about the advancement of knowledge in simulation modeling.

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.

Advanced Modeling and Simulation in Engineering Sciences is a premier open access journal published by SpringerNature, dedicated to advancing the field of engineering through innovative modeling and simulation techniques. Since its inception in 2014, the journal has consistently provided a platform for cutting-edge research, contributing significantly to the body of knowledge across diverse scientific domains. With a robust impact in the academic community, it ranks in the Q2 category in Applied Mathematics and Computer Science Applications and the prestigious Q1 category in Engineering (miscellaneous), reflecting its high quality and relevance. Positioned in the United Kingdom, it is accessible to a global audience, promoting open access that allows researchers, professionals, and students to freely disseminate and access crucial findings. By bridging the gap between theory and practical applications, the journal serves as an invaluable resource for those engaged in the fields of engineering, modeling, and simulation, fostering collaboration and innovation for future advancements.

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.

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.

Radio Electronics Computer Science Control is a distinguished academic journal published by the ZAPORIZHZHYA NATIONAL TECHNICAL UNIVERSITY that has been committed to advancing the fields of radio electronics, computer science, and control systems since its inception in 1999. With an open access model, the journal ensures that high-quality research is freely available to a global audience, fostering collaboration and innovation among researchers, professionals, and students alike. While the current impact factor is not listed, the journal remains an essential resource for those seeking to explore cutting-edge developments in technology and engineering, contributing significantly to the interdisciplinary dialogue among scholars in these domains. The journal publishes original research articles, reviews, and case studies, making it a vital platform for disseminating knowledge and advancing scientific understanding in the rapidly evolving landscape of computer and control systems. Located in Zaporizhzhya, Ukraine, the journal serves as a beacon of scholarly communication in Eastern Europe and beyond.

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.

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 International Journal of Modeling Simulation and Scientific Computing, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a pivotal resource in the realms of Computer Science Applications and Modeling and Simulation. With an ISSN of 1793-9623 and an E-ISSN of 1793-9615, this journal serves as a platform for innovative and high-quality research from 2010 to 2024, contributing to the advancement of methodologies and applications in various scientific fields. Although currently categorized in the Q4 quartile for both recognized domains and positioned in the 42nd and 36th percentiles in the Scopus rankings for Mathematics and Computer Science respectively, the journal encourages scholarly exchange and fosters the integration of modeling and computational analysis in scientific research. Researchers, professionals, and students alike will find this journal an essential tool to stay updated with trends, methodologies, and cutting-edge findings in simulation and computational techniques that drive scientific inquiry today.