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.

MULTISCALE MODELING & SIMULATION, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of multiscale modeling across various domains including chemistry, computer science, ecological modeling, and physics. With an impressive impact factor, this journal consistently ranks in the Q1 category for diverse disciplines, underscoring its outstanding contribution to the scientific community. The journal's scope encompasses innovative simulation techniques and theoretical advancements that aim to bridge the gaps between different scales of physical phenomena, making it an essential resource for researchers, professionals, and students alike. Though it does not currently offer open access, its rigorous peer-review process ensures that only the highest quality research is disseminated. Covering a dynamic range of topics from 2003 through 2024, MULTISCALE MODELING & SIMULATION remains a vital platform for interdisciplinary collaboration and exploration in the rapidly evolving landscapes of science and engineering.

Journal of Verification, Validation and Uncertainty Quantification, published by ASME, serves as an essential platform for researchers and professionals within the fields of computational theory, computer science applications, modeling, and statistics. Established in 2016, this journal has garnered a reputation for contributing high-quality scientific discourse and innovative methodologies to ensure the reliability and accuracy of engineering and computational models. Despite being placed in Q4 quartiles across various categories in 2023, the journal continues to attract attention for its focus on critical issues such as uncertainty quantification and model validation, making it a valuable resource for academia and industry alike. Although the journal does not currently offer open access, it provides a diverse range of articles that aim to advance understanding in these pivotal areas. With an aim toward bridging theoretical research and practical application, the Journal of Verification, Validation and Uncertainty Quantification supports the growing demand for robust analytical techniques amid the complexities of modern engineering and computational challenges.

Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.

JOURNAL OF APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.

Journal of Probability and Statistics, published by HINDAWI LTD, is a distinguished open-access journal that has been serving the academic community since 2009. With an ISSN of 1687-952X and E-ISSN 1687-9538, this journal facilitates the dissemination of research covering various foundational and applied aspects of probability and statistics. As researchers, professionals, and students in the fields of mathematics and statistical sciences seek to advance their knowledge and understanding, this journal offers a unique platform for innovative studies and comprehensive reviews. Although the journal has been discontinued from Scopus from 2009 to 2020, it continues to play an essential role within its niche, despite its Scopus ranking of #181/227 (20th percentile) in Statistics and Probability. The open-access model ensures that valuable findings are readily accessible to a global audience, fostering collaboration and engagement across diverse disciplines. Join the multitude of contributors and readers who rely on the Journal of Probability and Statistics as a vital resource for research and education in this ever-evolving field.

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.

Electronic Journal of Statistics, published by INST MATHEMATICAL STATISTICS-IMS, is a premier open-access platform dedicated to the field of statistics and probability, with a remarkable track record since its inception in 2007. With an ISSN of 1935-7524, this journal has quickly established itself as a leading resource within the top Q1 category in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, highlighting its significance and impact in the academic community. The journal’s commitment to disseminating high-quality research allows researchers, professionals, and students to access valuable findings and methodologies that contribute to the advancement of statistical sciences. With its convergence set to continue until 2024, the Electronic Journal of Statistics remains a vital source for scholars looking to enrich their knowledge and engage with cutting-edge statistical theories and applications.

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.

The IMA Journal of Applied Mathematics, published by Oxford University Press, serves as a pivotal platform for disseminating innovative research in the field of applied mathematics. With its ISSN 0272-4960 and E-ISSN 1464-3634, the journal has established itself as an essential resource for academics and practitioners, showing notable engagement with both theoretical and practical aspects of mathematics. Spanning over five decades since its inception in 1965, the journal covers a broad range of topics aimed at addressing complex real-world problems through mathematical modeling and computational techniques. Holding a Q3 quartile ranking in the applied mathematics category for 2023, and a Scopus rank of #310 out of 635, it plays a significant role in contributing to the academic discourse within this dynamic field. Despite not being open access, the journal's robust reputation and commitment to rigorous peer review ensure that cutting-edge research remains accessible to its audience of researchers, professionals, and students dedicated to advancing mathematical sciences. Its ongoing commitment to exceptional scholarship makes the IMA Journal of Applied Mathematics a vital resource for those seeking to explore and apply mathematical principles in various contexts.