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.

The Journal of Causal Inference, published by DE GRUYTER POLAND SP Z O O, is an esteemed academic journal dedicated to advancing the field of causal analysis within statistics and probability. Since transitioning to an Open Access model in 2020, the journal has encouraged widespread dissemination of research findings and fostered collaborative inquiry among scholars globally. Situated in Germany, the journal serves as a vital resource for researchers and professionals looking to explore innovative methodologies and applications in causal inference. With an impressive Q2 ranking in both the Statistics and Probability and Statistics, Probability and Uncertainty categories for 2023, it provides a prestigious platform for impactful contributions that address contemporary challenges in these domains. The journal, which has a convergence period from 2018 to 2024, actively promotes rigorous peer-reviewed research that pushes the boundaries of understanding in this critical area of study, aiming to provide fruitful insights for academics, practitioners, and students alike.

LIFETIME DATA ANALYSIS, published by Springer, stands as a premier journal within the fields of Applied Mathematics and Medicine, with an impressive Q1 category ranking in both disciplines as of 2023. Established in 1995, this journal specializes in the analysis of time-to-event data and related methodologies, providing valuable insights applicable to clinical trials, epidemiology, and survival analysis. With its aim to foster innovative research that enhances statistical methods, LIFETIME DATA ANALYSIS supports the academic community by publishing high-quality articles that cover both theoretical advancements and practical applications. Although it does not offer open access, this journal reaches a wide audience globally, bridging the gap between mathematics and health sciences, and underlining its essential role in advancing interdisciplinary research.

BIOSTATISTICS is a premier academic journal dedicated to the intersection of statistical methodologies and their applications in the field of biomedicine, published by Oxford University Press. With its ISSN 1465-4644 and E-ISSN 1468-4357, the journal has established itself as a crucial resource for researchers and professionals in the broad disciplines of statistics and probability, particularly within medical contexts. The journal proudly holds a Q1 ranking in multiple categories as of 2023, including Medicine (miscellaneous), Statistics and Probability, as well as Statistics, Probability, and Uncertainty, placing it at the forefront of statistical research. It has also achieved notable Scopus rankings, underscoring its influence and reach—ranking 27th in Mathematics (Statistics and Probability) and 94th in Medicine (General Medicine). Although it does not currently offer open access options, BIOSTATISTICS remains committed to advancing scholarly conversation and innovation in statistical science, making it an essential outlet for both established and emerging researchers. With contributions spanning from 2003 to 2024, this journal is actively seeking to foster an understanding of complex statistical approaches in biomedicine, enabling professionals in the field to apply robust statistical techniques to real-world problems.

CIN-COMPUTERS INFORMATICS NURSING is a distinguished journal that publishes cutting-edge research at the intersection of nursing and information technology. Published by Lippincott Williams & Wilkins, the journal has been a pivotal platform since 2002, catering to the needs of health informatics professionals and nursing researchers. With an impressive impact factor and ranked within Q2 in Nursing (miscellaneous) and other relevant categories, it serves as a key resource for advancing knowledge and best practices in the field. The journal's inclusion in important databases ensures broad visibility and access to the latest findings that influence healthcare delivery. CIN-COMPUTERS INFORMATICS NURSING welcomes a diverse range of articles, including empirical studies, reviews, and innovative methodology approaches, making it an invaluable asset for clinicians, educators, and scholars dedicated to enhancing nursing informatics and improving patient outcomes.

The Annals of Applied Statistics, published by the Institute of Mathematical Statistics (IMS), is a leading academic journal that serves as a crucial repository for groundbreaking research in the fields of statistics and probability applications. Since its inception in 2008 and continuing through 2024, this journal has established itself as an influential platform with a notable reputation, boasting a prestigious Q1 classification in 2023 across critical categories such as Modeling and Simulation and Statistics, Probability, and Uncertainty. With its rigorous peer-review process and significant Scopus rankings—including a position of #78 in Statistics and Probability—Annals of Applied Statistics aims to foster innovative statistical methods and their applications in a variety of disciplines. Researchers, professionals, and students interested in the latest advancements in analytical methods will find this journal essential for navigating the evolving landscape of applied statistics. The journal does not offer open access options, ensuring that published content reflects the highest academic standards.

ACADEMIC EMERGENCY MEDICINE, published by Wiley, stands as a leading journal in the field of emergency medicine, distinguished by its impressive rankings, including Q1 categories in both Emergency Medicine and Miscellaneous Medicine. With an ISSN of 1069-6563 and an E-ISSN of 1553-2712, the journal covers a broad array of topics relevant to emergency medicine, advancing research from its inception in 1994 up to 2024. Ranked #8 out of 109 in its category, this journal sits in the 93rd percentile according to Scopus, underscoring its significance and influence within the academic community. Although it does not currently offer open access options, its rigorous peer-review process and comprehensive publication standards ensure that only the highest quality research reaches its readership. Aimed primarily at researchers, practitioners, and students in the field, ACADEMIC EMERGENCY MEDICINE serves as an essential resource for those seeking to enhance their understanding and practice of emergency care, making significant contributions to both theory and clinical applications in the field.

BIOMETRICAL JOURNAL is a prestigious academic publication dedicated to advancing the fields of Medicine and Statistics. Published by WILEY since its inception in 1977, this journal plays a critical role in disseminating cutting-edge research and methodologies that bridge the gap between statistical theory and real-world medical applications. With an impressive Q1 ranking in both Medicine (miscellaneous) and Statistics, Probability and Uncertainty, it is recognized for its high-impact contributions to the scientific community. The journal actively encourages submissions that utilize innovative statistical techniques to address complex biomedical issues, making it an essential resource for researchers, professionals, and students aiming to enhance their understanding of quantitative approaches in health and medicine. Although the journal is not open access, its rigorous peer-review process guarantees the quality and relevance of published works, further establishing its significance in the academic landscape.

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.

Statistics and Its Interface, issn 1938-7989, published by INT PRESS BOSTON, INC, is a vital academic journal dedicated to bridging the critical intersection of statistics, applied mathematics, and interdisciplinary research. With its inaugural publication in 2011, this journal has continually aimed to provide a platform for innovative statistical methods and their application across various fields, offering valuable insights for researchers and practitioners alike. While the journal currently operates without an open access model, it maintains an essential position within the scholarly community, evidenced by its 2023 rankings in the third quartile for Applied Mathematics and the fourth quartile for Statistics and Probability. Furthermore, it holds a respectable position in Scopus rankings, reflecting its commitment to quality over quantity. By publishing cutting-edge research, Statistics and Its Interface serves as a critical resource for advancing statistical knowledge and cultivating a deeper understanding of its applications in real-world contexts.