COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS is a prestigious journal published by PLEIADES PUBLISHING INC, dedicated to advancing the fields of computational mathematics and mathematical physics. With an ISSN of 0965-5425 and an E-ISSN of 1555-6662, the journal has established its importance within the academic community since its inception in 1985. It is classified in the third quartile (Q3) for computational mathematics in 2023, and while currently it does not offer open access options, it remains a valuable resource for researchers seeking to disseminate their findings and engage with cutting-edge developments in the field. The journal encompasses a broad spectrum of topics, including numerical analysis, applied mathematics, and the intersection of physics and computational techniques, highlighting its relevance in addressing complex problems in both theoretical and applied contexts. Scholars will find a platform that not only promotes rigorous research but also encourages collaboration and innovation within the scientific community.

Journal of Applied Mathematics Statistics and Informatics, published by SCIENDO, is a premier Open Access journal dedicated to the dissemination of innovative research in the realms of applied mathematics, statistics, and informatics. Since its establishment, the journal has committed to providing a platform for researchers, practitioners, and academicians to share their findings and methodologies that advance these interconnected fields. With its ISSN 1336-9180 and E-ISSN 1339-0015, it serves as a critical resource for those engaged in quantitative analysis and computational solutions, supporting its audience with immediate access to groundbreaking works. The journal prioritizes high-quality peer-reviewed articles that explore a broad range of topics, from statistical modeling and computational algorithms to the application of mathematics in real-world scenarios. As a valuable asset for researchers and students alike, it fosters collaborative efforts and strengthens the global academic community by providing accessible knowledge, enhancing learning and professional practice in the competitive landscape of applied mathematics and information sciences.

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, published by WALTER DE GRUYTER GMBH in Germany, is a vital resource for researchers and practitioners in the fields of numerical analysis, mathematical modeling, and computational mathematics. With an ISSN of 0927-6467 and an E-ISSN of 1569-3988, this journal has been disseminating significant findings since its inception in 1986 and continues to do so into 2024. Despite its current position in Q4 category quartiles and modest Scopus rankings, it provides a platform for innovative research that contributes to the evolution of modeling and simulation techniques. The journal is committed to fostering an understanding of complex numerical methods and their applications across various scientific disciplines. Although it does not provide Open Access options, it remains a key publication that underscores the importance of rigorous mathematical analysis and its practical implications in today's technology-driven world.

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.

Communications in Mathematics and Statistics, published by Springer Heidelberg, is a prominent journal dedicated to advancing research in the fields of applied mathematics, computational mathematics, and statistics. With an ISSN of 2194-6701 and an E-ISSN of 2194-671X, the journal has established itself as a vital platform for interdisciplinary scholarly communication since its inception in 2013. The journal falls within the third quartile in various rankings including applied mathematics, computational mathematics, and statistics and probability, indicating its solid position in the global research landscape. With a focus on innovative methodologies and practical applications, Communications in Mathematics and Statistics aims to bridge the gap between theoretical research and practical implementation. Researchers, professionals, and students alike will find valuable insights and cutting-edge studies that contribute to the evolution of mathematical sciences. The journal is based in Germany, with a commitment to fostering international collaboration and accessibility in mathematical research.

SIAM Journal on Numerical Analysis, published by SIAM Publications, is a leading academic journal dedicated to the rigorous exploration of numerical methods and algorithms across applied and computational mathematics. Since its inception in 1969, this journal has played a pivotal role in advancing the field, achieving a distinguished impact factor that places it in the Q1 quartile for Applied Mathematics, Computational Mathematics, and Numerical Analysis as of 2023. With Scopus rankings reflecting its high influence (Rank #102 in Applied Mathematics and Rank #16 in Numerical Analysis), this journal serves as an essential resource for researchers, professionals, and students aiming to stay abreast of cutting-edge developments in numerical methods. The journal's comprehensive scope covers theoretical advancements, implemented algorithms, and applications, making it indispensable for those engaged in high-level quantitative research and practice. Readers can access a wealth of innovative studies and insights, fostering a deeper understanding of numerical analysis techniques and their practical applications.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, published by Taylor & Francis Ltd, is a premier journal dedicated to advancing the fields of statistical computation, modeling, and simulation. With a notable impact factor and a ranking in the Q2 quartile across important categories such as Applied Mathematics and Statistics, this journal serves as a vital resource for researchers, practitioners, and students alike. Established in 1972, it has consistently provided cutting-edge research insights, fostering a deeper understanding of statistical methodologies and their practical applications. Although it operates under a subscription model, the journal's commitment to disseminating high-quality research is reflected in its rigorous peer-review process and a broad international readership. With its scope spanning the intersections of statistics, probability, and computational techniques, the journal is essential for anyone looking to stay at the forefront of statistical innovation and practice.

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.

TECHNOMETRICS, established in 1959 and published by Taylor & Francis Inc, serves as a premier journal in the fields of applied mathematics, modeling and simulation, and statistics and probability. With its ISSN number 0040-1706 and E-ISSN 1537-2723, the journal has successfully converged over its decades-long history and is recognized for its substantial contributions to the quantitative analysis and application of statistical methods. TECHNOMETRICS is proud to maintain a distinguished reputation, ranking in the Q1 category for 2023 across its relevant fields, and positioning itself within the top 86th percentile in Mathematics _ Statistics and Probability as per Scopus rankings. While this journal currently does not operate under an open access model, it remains a crucial resource for researchers, professionals, and graduate students seeking insights and advancements in the realm of statistical methodologies and applications. Its commitment to disseminating high-quality research ensures it stands as an invaluable platform for innovation and scholarly discourse within the statistical community, making it essential reading for anyone interested in the evolution of applied statistical techniques.