Qualitative Theory of Dynamical Systems, published by SPRINGER BASEL AG, is a prestigious academic journal that serves as a central platform for the dissemination of research in the realms of applied mathematics and discrete mathematics. With an ISSN of 1575-5460 and an E-ISSN of 1662-3592, this journal has established itself with a strong impact, ranking in the Q2 category for both applied mathematics and discrete mathematics and combinatorics as of 2023. Having converged over critical years—from 1999 to 2005 and from 2008 to 2025—it aims to publish high-quality, peer-reviewed articles that contribute to the understanding of dynamical systems through qualitative methods. With a Scopus rank placing it in the top twenty of discrete mathematics and combinatorics as well as a respectable position in applied mathematics, the journal is considered essential for researchers, professionals, and students looking to stay abreast of the latest theoretical and practical advancements in these vibrant fields. While the journal currently does not offer open access options, its commitment to rigorous scientific inquiry and innovation ensures its lasting significance in mathematical literature.

International Journal for Uncertainty Quantification, published by BEGELL HOUSE INC, is a leading platform dedicated to advancing the field of uncertainty quantification across various mathematical and engineering disciplines. With an ISSN of 2152-5080 and an E-ISSN of 2152-5099, this esteemed journal offers a rich repository of research that informs and enhances methodologies in Discrete Mathematics and Combinatorics (Q1), Control and Optimization (Q2), Modeling and Simulation (Q2), as well as Statistics and Probability (Q2). The journal holds impressive Scopus rankings, with notable placements such as Rank #5 in Discrete Mathematics, underscoring its influence and reach among its peers. The objective of the journal is to provide a comprehensive forum for researchers and practitioners to share innovative ideas, theoretical advancements, and practical applications related to uncertainty quantification. Although it is not an Open Access journal, it remains pivotal for the academic community, continually addressing the complexities associated with uncertainty across multiple fields. For scholars and professionals looking to stay at the forefront of research and applied methodologies, the International Journal for Uncertainty Quantification is an indispensable resource.

DOKLADY MATHEMATICS is a prestigious journal published by MAIK NAUKA/INTERPERIODICA/SPRINGER, recognized for its significant contributions to the field of mathematics. Since its inception in 1996, the journal has been delivering high-quality research articles, fostering advancement in diverse areas of mathematical sciences. With an ISSN of 1064-5624 and an E-ISSN of 1531-8362, it has established itself within the academic community and holds a respectable Q2 quartile ranking in Mathematics (miscellaneous), indicating its relevance and influence. Although it does not operate under an open-access model, the journal remains an invaluable resource for researchers, professionals, and students, propelling innovation and scholarship in mathematics until 2024. The Scopus ranking situates it at rank #254 out of 399 in the Mathematics General category, showcasing its position within the broader landscape of mathematical journals. This journal is essential for those aiming to stay abreast of the latest findings and theoretical advancements in the mathematics domain.

Applied and Computational Mathematics is a premier journal dedicated to the dissemination of innovative research in the fields of applied mathematics and computational mathematics. Published by the MINISTRY COMMUNICATIONS & HIGH TECHNOLOGIES REPUBLIC AZERBAIJAN, this journal offers a prominent platform for scholars and practitioners worldwide, boasting an impressive Q1 category ranking in applied mathematics and Q2 in computational mathematics for 2023. With an excellent Scopus ranking placing it in the 96th percentile for both categories, it highlights the high quality and global impact of its published work. The journal spans a wide range of topics, ensuring it remains relevant to current and emerging trends in both theoretical and applied contexts. Access to its articles is streamlined through open channels, promoting collaboration and knowledge sharing among researchers. Applied and Computational Mathematics is pivotal for advancing the discipline and supporting the academic community's growth, making it an essential resource for researchers, professionals, and students alike.

Mathematics in Applied Sciences and Engineering is a pioneering Open Access journal published by WESTERN LIBRARIES in Canada, dedicated to advancing the field of applied mathematics and its integration into engineering practices. With an E-ISSN of 2563-1926, this journal has been actively disseminating critical research since its inception in 2020, and aims to foster innovation and collaboration among researchers, professionals, and students alike. The journal excels in covering important topics within applied mathematics, modeling, and simulation, despite its current standing in the Q4 quartile for these categories according to the 2023 rankings, indicating significant opportunities for growth and contribution in these fields. Positioned in a competitive academic landscape—ranked #437 out of 635 in Applied Mathematics and #253 out of 324 in Modeling and Simulation—this outlet serves as an accessible platform for scholarly exchange, ensuring that emerging ideas and methodologies reach a broad audience while maintaining a commitment to academic integrity and quality.

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.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

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.

ESAIM-Mathematical Modelling and Numerical Analysis, published by EDP SCIENCES S A, is a prestigious open-access journal at the forefront of the fields of mathematical analysis, applied mathematics, computational mathematics, modeling, simulation, and numerical analysis. With an impressive Q1 ranking in multiple categories for 2023, the journal is recognized for its contribution to advanced research, particularly in areas that intertwine mathematical theory with practical applications. The journal’s ISSN is 2822-7840 and its E-ISSN is 2804-7214, showcasing its commitment to both traditional and digital dissemination of knowledge. Spanning from 1996 to 2024, ESAIM has established itself as a vital platform for scholars seeking to publish innovative research and engage with the latest advancements in the field. Researchers and practitioners can explore the journal’s content through various access options, fostering a collaborative environment for the sharing and development of new mathematical methodologies. Situated in France, ESAIM continues to attract an international readership, driving forward the global discourse in mathematical sciences.

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.