DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE, published by DISCRETE MATHEMATICS THEORETICAL COMPUTER SCIENCE in France, stands as a significant open-access journal since 1997, publishing innovative research articles within the intersecting disciplines of discrete mathematics and theoretical computer science. With an ISSN of 1462-7264 and an E-ISSN of 1365-8050, this journal aims to provide a platform for scholarly discourse and dissemination of knowledge, making it accessible to a global audience. It is recognized for its contributions, achieving a Q2 ranking in both Computer Science (Miscellaneous) and Discrete Mathematics and Combinatorics, alongside a Q3 ranking in Theoretical Computer Science as of 2023. The journal’s rigorous selection process ensures that only high-quality research is published, promoting advancements in these critical areas of study. Researchers, professionals, and students alike can benefit from its comprehensive articles that not only enhance theoretical understanding but also foster practical applications in the ever-evolving landscape of computer science.

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.

Mathematical Foundations of Computing, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been actively disseminating influential research in the fields of Artificial Intelligence, Computational Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science since its inception in 2009. With its E-ISSN 2577-8838, this journal is committed to providing researchers and practitioners with cutting-edge mathematical theories and methodologies that underpin modern computational practices, which is critical for advancing the field. The journal proudly holds a Q3 categorization in several relevant domains as of 2023, reflecting its contribution and accessibility amid an evolving academic landscape. By offering open access to its content, it ensures that vital research is freely available to a global audience, enhancing collaboration and innovation. Positioned in the heart of the United States, Mathematical Foundations of Computing serves as a crucial resource for advancing knowledge and fostering discussions among researchers, professionals, and students passionate about the mathematical underpinnings of computing.

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.

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.

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.

Applied Mathematics in Science and Engineering is a prestigious academic journal published by TAYLOR & FRANCIS LTD, dedicated to presenting innovative research at the intersection of applied mathematics, science, and engineering disciplines. Since its inception as an Open Access platform in 2022, this journal has empowered researchers worldwide to disseminate their findings without barriers, enhancing knowledge-sharing among scholars, professionals, and students. Covering a wide range of topics, including but not limited to mathematical modeling, computational methods, and engineering applications, Applied Mathematics in Science and Engineering aims to foster interdisciplinary collaboration and advance the field through high-quality research articles. With a commitment to rigorous peer review and academic excellence, this journal serves as an essential resource for anyone seeking to stay at the forefront of applied mathematics in contemporary scientific inquiry.

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.

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.

AIMS Mathematics, published by the American Institute of Mathematical Sciences (AIMS), is a premier open-access journal that has been providing a platform for innovative research since its inception in 2016. With a keen focus on diverse areas within the field of mathematics, this journal aims to disseminate high-quality studies that cater to both theoretical and applied aspects of mathematics. As evidenced by its impressive Scopus rank of 52 out of 399 in the category of General Mathematics, placing it in the 87th percentile, AIMS Mathematics stands as a significant contributor to the academic discourse in this discipline. The journal operates under Q2 in Mathematics (miscellaneous) for its 2023 category quartiles, reflecting its rigorous peer-reviewed process and substantial impact on current mathematical research. Accessible since its launch, the journal's open-access model ensures that researchers, professionals, and students alike can easily retrieve insights and advancements in mathematics, fostering collaboration and the advancement of knowledge globally.