STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

Statistical Applications in Genetics and Molecular Biology, published by WALTER DE GRUYTER GMBH, serves as a vital academic platform for researchers and professionals dedicated to the integration of statistical methodologies within the fields of genetics and molecular biology. Established in Germany, this interdisciplinary journal, with an ISSN of 2194-6302 and E-ISSN 1544-6115, seeks to bridge the gap between statistical theory and biological applications, making it an essential reading for those engaged in data analysis, biological research, and computational methods. Despite its current Q4 ranking in key categories such as Computational Mathematics and Genetics, the journal continues to strive for academic rigor and relevance, addressing contemporary challenges and advancements in the field. The journal encourages the submission of high-quality, peer-reviewed research that showcases innovative statistical approaches to genetic and molecular data, providing valuable insights and fostering collaboration among scientists. Exploratory or applied studies that demonstrate effective statistical applications are particularly welcomed, ensuring that both novel and established methodologies are discussed, alongside practical case studies that advance the understanding of biological phenomena. As an open-access journal, it aims to widen the accessibility of cutting-edge research, emphasizing the importance of transparency and sharing knowledge among the scientific community.

Statistics and Applications is an esteemed academic journal dedicated to disseminating innovative research findings and advancements within the field of statistics and its diverse applications. Published by SOC STATISTICS COMPUTER & APPLICATIONS, this journal operates under an open access model, ensuring that critical knowledge and research are freely available to researchers, professionals, and students worldwide. With an ISSN of 2454-7395, it serves as a key platform for scholars to share their insights on statistical methodologies, computational techniques, and novel applications across various disciplines. Although the journal’s impact factor is not currently listed, its commitment to rigorous peer review and high-quality publications positions it as a valuable resource in the continuously evolving domain of statistics. By fostering collaboration among researchers and encouraging the sharing of knowledge, Statistics and Applications contributes significantly to the advancement of statistical science and its applications in real-world problems.

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, published by OXFORD UNIVERSITY PRESS, is a leading academic journal dedicated to advancing the field of statistical methodology. With a distinguished Q1 ranking in both Statistics and Probability and Statistics, Probability and Uncertainty as of 2023, this journal stands at the forefront of statistical research, serving as a vital resource for researchers, professionals, and students alike. The journal has been committed to fostering innovative statistical techniques and methodologies since its inception in 1997, covering a wide scope of topics that push the boundaries of statistical applications in various disciplines. Based in the United Kingdom, the journal maintains its reputation through rigorous peer-review practices and high-quality content, making it an indispensable platform for those looking to disseminate their findings and engage with current trends in statistical science. Although the journal does not offer open access, the impact and scholarly significance of its articles remain profoundly influential in shaping contemporary statistical discourse.

BIOMETRICS, published by WILEY, stands as a prestigious journal that has made substantial contributions across diverse fields, including Agricultural and Biological Sciences, Applied Mathematics, and Biochemistry. With an impressive track record from its inception in 1946 and continuing through to 2024, this journal is recognized for its rigorous peer-reviewed research and high-impact findings, evidenced by its Q1 ranking in various categories such as Medicine and Statistics. Researchers and professionals alike will find a wealth of knowledge within its pages, making it an essential resource for anyone involved in these dynamic and evolving disciplines. While BIOMETRICS does not offer open access, its reputation for delivering high-quality research ensures its continued importance in advancing the scientific ecosystem. For those seeking to stay ahead in their fields, engaging with the latest studies published in this journal is indispensable.

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.

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.

Journal of Multivariate Analysis, published by Elsevier Inc, stands as a pivotal resource in the disciplines of Numerical Analysis and Statistics. With a history of scholarly contribution since 1971, this journal has maintained a reputation for excellence, evidenced by its Q2 ranking in critical categories as of 2023. The journal covers a wide array of topics within multivariate statistical methods and their applications, making it an essential publication for researchers, professionals, and students seeking to deepen their understanding and application of sophisticated analytical techniques. Although not open-access, the journal provides valuable insights into the ever-evolving fields of statistics and probability, enabling readers to access and contribute to cutting-edge research up to the year 2024. By addressing significant theoretical and practical challenges in statistical analysis, Journal of Multivariate Analysis fosters a community of intellectual rigor and innovation.

Journal of the Royal Statistical Society Series A - Statistics in Society is a premier academic journal published by Oxford University Press, dedicated to advancing the understanding and application of statistical methods in the context of social issues. With an ISSN of 0964-1998 and an E-ISSN of 1467-985X, this journal has consistently been recognized for its high-quality contributions, reflected in its prestigious impact factors and quartile rankings. As of 2023, it holds a Q1 status in Social Sciences (miscellaneous) and notable Q2 rankings in Economics and Econometrics, as well as in Statistics and Probability, illustrating its influence and authority in the relevant fields. Researchers and professionals engaging with this journal can expect rigorous peer-reviewed articles, innovative methodologies, and comprehensive discussions that address contemporary statistical challenges within society. While currently not offering Open Access, the journal is committed to disseminating knowledge that enhances understanding of the interplay between statistics and social dynamics. Spanning from 1988 to 2024, the Journal of the Royal Statistical Society Series A remains a crucial resource for scholars looking to explore the vital intersection of statistical theory and societal applications.