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.

Spatial and Spatio-Temporal Epidemiology is a premier journal dedicated to advancing the understanding of spatial patterns and temporal dynamics in epidemiological research. Published by ELSEVIER SCI LTD in the United Kingdom, this journal utilizes a robust interdisciplinary approach, blending methodologies from epidemiology, geography, and environmental science. With an impressive impact factor and categorized in the top quartiles for its fields—Q2 in Epidemiology and Q1 in Geography, Planning and Development (2023)—this journal excels in providing high-quality insights relevant to both academic researchers and public health professionals. The journal supports open access options, enhancing the dissemination and impact of scholarly articles. Since its inception in 2009, Spatial and Spatio-Temporal Epidemiology has published a myriad of studies that contribute significantly to understanding the geographical and temporal aspects of diseases, thereby serving as a crucial resource for anyone invested in improving public health outcomes and addressing infectious diseases globally.

Advances in Data Analysis and Classification is a premier journal published by SPRINGER HEIDELBERG, focusing on the dynamic intersections of applied mathematics, computer science applications, and statistics. Established in 2007, this journal has rapidly gained recognition in the academic community, evidenced by its placement in the Q2 quartile across multiple categories in 2023, including Applied Mathematics and Statistics and Probability. With a strong Scopus ranking, where it stands 68th among 278 in Statistics and Probability, and 190th among 635 in Applied Mathematics, the journal serves as a platform for interdisciplinary research and innovation in data analysis techniques. This journal not only offers a rich repository of scholarly articles but also fosters the dissemination of cutting-edge methodologies and their practical applications. Researchers, professionals, and students alike will find invaluable insights relevant to their work and studies, reinforcing the journal's critical role in advancing knowledge and practices in data science and analysis.

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.

Research Reports in Clinical Cardiology is a premier open-access journal published by DOVE MEDICAL PRESS LTD, dedicated to advancing the field of clinical cardiology. Since its inception in 2010, the journal has become an essential resource for researchers, practitioners, and students seeking the latest insights and developments in cardiovascular research. With its commitment to disseminating high-quality research, Research Reports in Clinical Cardiology continually explores crucial topics ranging from innovative therapeutic interventions to the epidemiology of heart diseases, attracting contributions from leading experts in the field. The journal's open-access model ensures that vital research findings are accessible to a global audience, fostering collaboration and the exchange of knowledge. By prioritizing impactful and rigorous studies, this journal plays a significant role in shaping contemporary cardiovascular medicine and providing essential resources for ongoing education in this vital area of healthcare.

Applied Stochastic Models in Business and Industry, published by Wiley, is a preeminent journal dedicated to advancing the field of stochastic modeling in various business and industry contexts. With an ISSN of 1524-1904 and an E-ISSN of 1526-4025, this journal serves as a vital platform for researchers and practitioners aiming to leverage stochastic techniques to address complex decision-making and operational challenges. The journal holds prestigious rankings, including Q2 in Business, Management and Accounting, and has converged years spanning from 1999 to 2024. It is distinguished by its wide scope, focusing on all aspects of modeling and simulation, as well as decision sciences and operations research. Although it does not operate as an open-access journal, its significant impact factor and Scopus rankings ensure that the valuable insights published within reach a broad audience. By fostering high-quality research and discourse, Applied Stochastic Models in Business and Industry plays a crucial role in driving innovation and excellence in its fields.

EPIDEMIOLOGY, published by Lippincott Williams & Wilkins, stands as a vital resource in the field of epidemiological research. With its ISSN 1044-3983 and E-ISSN 1531-5487, this journal has been a cornerstone for scholars since its inception in 1990. Covering a wide array of topics within the domain, it strives to disseminate cutting-edge findings that inform public health policies and clinical practices. Currently ranked Q3 in Epidemiology and positioned at #33 out of 148 according to Scopus, the journal boasts an impressive 78th percentile rank, reflecting its significance and impact within the academic community. Though not open access, EPIDEMIOLOGY provides robust access options for institutional subscribers, ensuring that critical epidemiological insights reach a broad audience. As this field continues to evolve, the journal remains dedicated to empowering researchers, practitioners, and students with the knowledge necessary to advance public health initiatives and improve population health outcomes.

Japanese Journal of Statistics and Data Science, published by SPRINGERNATURE, is a leading academic journal dedicated to the advancement of statistical methodologies and data science applications, with a focus on fostering innovative research and discourse within the field. Since its inception in 2018, the journal has sought to bridge theory and practice, embracing emerging trends and interdisciplinary approaches that contribute to the ever-evolving landscape of statistics, probability, and computational theory. Hailing from Germany, the journal holds an impressive Q3 ranking in both Computational Theory and Mathematics and Statistics and Probability, reflecting its commitment to high-quality, impactful research. With an accessible ISSN of 2520-8756 and E-ISSN 2520-8764, the journal invites a global audience of researchers, professionals, and students to explore its rich array of articles and findings, all aimed at furthering knowledge and application in the realm of data science.

BioData Mining is a distinguished open access journal published by BMC, focusing on the dynamic intersection of bioinformatics, computational mathematics, and molecular biology. Since its inception in 2008, this journal has provided a critical platform for researchers and professionals to publish their findings, contributing significantly to the collective knowledge in fields such as biochemistry, computational theory, and genetics. With a robust impact factor and a commendable h-index, BioData Mining continues to be a vital resource for academic and industrial advancements, ranked in the top quartiles in various categories according to the 2023 metrics. The journal's commitment to open access ensures that cutting-edge research is readily available to the global scientific community, thereby enhancing visibility and fostering collaboration among scholars. Whether you are a researcher, student, or practitioner, engaging with BioData Mining will equip you with relevant insights and developments in the fast-evolving realm of bioinformatics.

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.