Foundations of Data Science, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering journal dedicated to advancing knowledge within the ever-evolving fields of data science, mathematics, and computational theory. With an impact factor reflecting its quality and relevance, this journal has established itself as a crucial resource for researchers and professionals alike, achieving remarkable rankings in the Scopus metrics across various mathematical categories, including 35th in Analysis and 70th in Statistics and Probability. The journal, which has been continuously growing in significance since its inception in 2019, focuses on both foundational theories and applied methodologies, providing open access to cutting-edge research from 2024 onward. Its commitment to fostering interdisciplinary collaboration ensures that it remains at the forefront of the data science realm, making it an essential platform for students, scholars, and practitioners aiming to deepen their understanding and contribute to the scientific community.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, published by Elsevier, stands as a premier platform for researchers and practitioners in the fields of applied and computational mathematics. With an impressive convergence history from 1975 to 2025, this journal has established itself as a crucial reference point for innovative mathematical theories, methodologies, and applications. Holding a distinguished position in Scopus rankings—#85 out of 635 in Applied Mathematics and #36 out of 189 in Computational Mathematics—it operates in the highly competitive Q2 quartile for both disciplines as of 2023. Although currently not designated as an open-access journal, it remains widely respected for its rigorous peer-review process and high-quality research contributions. Researchers and professionals seeking to advance their work and engage with cutting-edge developments will find this journal an invaluable resource, fostering a deeper understanding and collaboration within the mathematical community.

Vestnik Sankt-Peterburgskogo Universiteta Seriya 10 Prikladnaya Matematika Informatika Protsessy Upravleniya, published by ST PETERSBURG UNIV PRESS, stands as a notable contribution to the fields of applied mathematics, computer science, and control processes. With an ISSN of 1811-9905 and an E-ISSN of 2542-2251, this journal seeks to provide a platform for innovative research and scholarly discussions, bridging theoretical concepts and practical applications. Although it currently has no Open Access option, the journal's rigorous peer-review process ensures the dissemination of high-quality research. As reflected in its Scopus rankings, it is positioned in the Q4 quartile in Applied Mathematics and Control and Optimization, and Q3 in General Computer Science, thereby fostering a vibrant academic dialogue among researchers, professionals, and students. The journal encompasses a rich scope that encourages contributions aimed at enhancing the methodologies and tools crucial for advancements in these interconnected disciplines, particularly as it continues to evolve from 2017 to 2024. By nurturing interdisciplinary collaboration, Vestnik Sankt-Peterburgskogo Universiteta remains an essential resource for those engaged in the complexities of mathematical and computational problems.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

Frontiers in Applied Mathematics and Statistics is a premier open-access journal published by FRONTIERS MEDIA SA, dedicated to advancing the fields of applied mathematics and statistics. Launched in 2015 and based in the scenic city of Lausanne, Switzerland, this journal fosters robust academic discourse by providing a platform for high-quality research that bridges theoretical understanding and practical application. With a current ranking of Q3 in both the Applied Mathematics and Statistics and Probability categories, it has rapidly gained visibility within the academic community, positioned at the intersection of theory and application. This journal not only encourages contributions from a diverse array of disciplines but also ensures that research is freely accessible to a global audience, fostering collaboration and innovation. Available online under a fully open-access model, Frontiers in Applied Mathematics and Statistics continues to play a vital role in disseminating critical insights and methodologies to researchers, professionals, and students who seek to expand their knowledge and drive progress in these essential fields.

Journal of Mathematics in Industry, published by Springer, stands as a pivotal platform for researchers and professionals exploring the intersection of mathematical applications and real-world industrial challenges. With an impact factor signaling its robust influence in the field, the journal has distinguished itself within the Q3 quartile of applied mathematics, ranking 95 out of 635 according to Scopus, placing it in the 85th percentile among its peers. Since its inception in 2011, the journal has embraced the Open Access model, fostering a collaborative and unrestricted dissemination of knowledge. This initiative not only enhances visibility but also encourages engagement from a global audience eager to apply mathematical innovations in various industries. As the journal looks towards the future, it continues to bridge the gap between theoretical mathematical research and practical industrial applications, making it an invaluable resource for academics, practitioners, and students alike.

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

Advances in Continuous and Discrete Models, published by Springer, serves as a vital resource in the fields of algebra, analysis, and applied mathematics. With an E-ISSN of 2731-4235, this journal aims to bridge theoretical concepts and practical applications, providing a platform for researchers, professionals, and students to disseminate innovative findings and foster collaborative discourse. Since its inception in 2022 and continuing through 2024, the journal has rapidly established itself within its categories, achieving notable Q2 rankings in Algebra and Number Theory, Analysis, and Applied Mathematics, reflecting its significant contribution to these disciplines. With SCOPUS rankings highlighting its reputable standing—such as being in the 83rd percentile for Algebra and Number Theory—this open-access journal encourages knowledge sharing and accessibility for the global academic community. Scholars looking to stay at the forefront of ongoing research and developments will find this publication an invaluable addition to their reading list.

Acta Mathematicae Applicatae Sinica-English Series, published by Springer Heidelberg, is a prominent journal in the field of Applied Mathematics, recognized for its contributions to the advancement of mathematical applications since its inception in 1984. With an ISSN of 0168-9673 and an E-ISSN of 1618-3932, this journal is indexed in Scopus, achieving a respectable ranking of #453 out of 635 in the category of Applied Mathematics, placing it in the 28th percentile. The journal serves as a critical platform for researchers, professionals, and students alike, aiming to disseminate high-quality original research, innovative methodologies, and applications of mathematics to solve real-world problems. Although it currently does not offer open access, its rigorous peer-review process ensures that only the most impactful studies are published. As part of its commitment to enhancing the mathematical sciences, Acta Mathematicae Applicatae Sinica-English Series plays a vital role in bridging theoretical research and practical applications, making significant contributions to the global scientific community.

Journal of Algorithms & Computational Technology, published by SAGE PUBLICATIONS LTD, serves as a noteworthy platform for scholars and practitioners in the realms of applied mathematics, computational mathematics, and numerical analysis. With an ISSN of 1748-3018 and an E-ISSN of 1748-3026, this Open Access journal has been disseminating high-quality research since 2007, ensuring that significant advancements in algorithmic techniques and computational methodologies are readily accessible to the global academic community. Based in the United Kingdom, this journal has steadily established itself within specialized quartiles, notably achieving Q3 ranking in Computational Mathematics and Q4 in both Applied Mathematics and Numerical Analysis for 2023, reflecting its growing influence in these fields. As the journal converges from 2011 to 2024, it aims to cater to the needs of researchers, professionals, and students by publishing innovative research that not only addresses theoretical frameworks but also provides practical applications. By leveraging its open-access model, the Journal of Algorithms & Computational Technology fosters a collaborative environment where knowledge can flourish, allowing for the continuous evolution of algorithms that drive technological advancement.