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.

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.

Quantitative Biology is a prestigious journal published by WILEY, focusing on the interdisciplinary study of quantitative approaches in the biological sciences. With an ISSN of 2095-4689 and an E-ISSN of 2095-4697, this journal has established itself as a critical platform for researchers exploring complex biological systems through mathematical and computational methodologies. Operating out of China, Quantitative Biology significantly contributes to its field, holding a Q2 ranking in various categories, including Applied Mathematics and Biochemistry, Genetics and Molecular Biology, according to the latest Scopus rankings. These rankings reflect the journal's commitment to publishing high-quality research that employs advanced modeling and simulation techniques. The journal's impact is evident with its position in the 84th percentile for Applied Mathematics, indicating its relevance and growth in a competitive academic landscape. Although it does not currently operate under an Open Access model, the journal is pivotal for professionals and students alike, aiming to bridge the gap between mathematical theories and biological applications. Researchers are encouraged to submit their innovative findings and engage with the vibrant community dedicated to advancing the quantitative understanding of biological phenomena.

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.

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.

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.

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.

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.

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.

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.