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 Applied Mathematics, published by HINDAWI LTD, is a prominent open-access journal dedicated to advancing the field of applied mathematics. Since its inception in 2001, it has provided a vital platform for researchers and practitioners to share their findings in various areas of applied mathematical theory and its applications across disciplines. With an ISSN of 1110-757X and an E-ISSN of 1687-0042, the journal has established a respectable position within the academic community, evidenced by its ranking of #255 out of 635 in the Scopus Ranks for applied mathematics, placing it in the 59th percentile. Featuring a Q3 category quartile as of 2023, it aims to foster innovative research that bridges theoretical mathematics with real-world applications. Researchers, students, and professionals can freely access its content, promoting a collaborative approach to knowledge dissemination. With a commitment to high-quality research, the Journal of Applied Mathematics continues to play a crucial role in the evolution of applied mathematical methodologies and practices.

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.

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.

Proceedings of the Romanian Academy Series A-Mathematics Physics Technical Sciences Information Science, published by EDITURA ACAD ROMANE, is a noteworthy academic journal that serves as a platform for disseminating original research in the intersecting fields of mathematics, physics, engineering, and computer science. With an ISSN of 1454-9069, this journal not only highlights the vibrant academic contributions from Romania but also attracts international submissions, thus fostering global collaboration. Though it currently does not offer an open-access model, the journal remains indexed in significant databases, reflecting its commitment to quality and scholarly rigor. The journal’s impact can be seen through its rankings, including Q4 in Computer Science, Q3 in Engineering, and Q4 across Mathematics and Physics, as well as its Scopus percentile rankings, which indicate meaningful contributions to these domains. With a converged publication span from 2008 to 2024, it aims to catalyze advancements in technical sciences while enriching the academic discourse among researchers, professionals, and students alike. The journal’s headquarters in Bucharest, Romania, positions it as a key player in the Eastern European academic landscape, making it essential reading for those engaged in cutting-edge research.

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.

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.

The International Journal of Mathematics and Computer Science (ISSN: 1814-0424, E-ISSN: 1814-0432), published by Lebanese University, serves as a vital platform for disseminating innovative research and advancements in the fields of mathematics and computer science. With a compelling range of topics including Algebra, Applied Mathematics, Computational Mathematics, and Statistical Analysis, this journal caters to a broad audience of researchers, professionals, and students. Spanning the years from 2017 to 2025, it has established a presence in several key quartiles, including Q3 rankings in Applied Mathematics and Computational Mathematics, and a Q4 ranking in Algebra and Number Theory. While currently not an open-access journal, it provides valuable insights through its rigorous peer-reviewed process, enhancing its relevance in both theoretical and applied domains. Furthermore, its presence in Scopus rankings reflects its commitment to quality, making it an essential resource for anyone looking to explore the intersection of mathematics and computer science.

COMPUTATIONAL INTELLIGENCE is a prestigious, peer-reviewed journal published by Wiley, dedicated to advancing the field of artificial intelligence and computational mathematics since its inception in 1985. With an impressive track record reflected in its Q2 ranking in both the Artificial Intelligence and Computational Mathematics categories for 2023, this journal is a leading resource for researchers, professionals, and students seeking to explore cutting-edge methodologies, theories, and applications that underpin computational intelligence. The journal is indexed in Scopus, holding a remarkable rank of 18/189 in Computational Mathematics, placing it in the top 10% of its field, and ranks 111/350 in Artificial Intelligence. Although it does not offer open access, articles are readily accessible for institutions, ensuring a wide outreach within the academic community. With its commitment to fostering innovation and critical thought, COMPUTATIONAL INTELLIGENCE continues to be an essential platform for disseminating high-quality research that shapes the future of technology and mathematics.

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.