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.

STATISTICS & PROBABILITY LETTERS is a distinguished journal published by ELSEVIER, dedicated to advancing the field of statistics and probability. With an ISSN of 0167-7152 and an E-ISSN of 1879-2103, this journal is an essential platform for research, featuring cutting-edge studies and significant findings in the realms of statistical theory and applied probability. The journal operates under a notable Q3 ranking in both the categories of Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, underscoring its relevance in these fields. Researchers, professionals, and students alike benefit from its rigorous peer-review process and its commitment to published integrity, fostering innovative insights from 1982 through its anticipated convergence in 2025. While it does not offer open access, the journal’s widely recognized impact within the academic community makes it a valuable resource for anyone seeking to deepen their understanding of statistical methodologies and probabilistic models.

Welcome to the Sao Paulo Journal of Mathematical Sciences, a pivotal platform dedicated to advancing the field of mathematics, published by Springer International Publishing AG. Established in 2015 and running until 2024, this journal serves as a vital resource for researchers, professionals, and students interested in a plethora of mathematical topics, including computational theory, statistics, and general mathematics. While the journal holds a current Q4 quartile ranking in its categories, it provides an opportunity for contributors to disseminate innovative findings in an accessible manner. Although not an open-access publication, the journal is committed to ensuring that high-quality research is available to the academic community, fostering collaboration and growth within the discipline. Researchers seeking to publish in a dynamic and developing journal should consider the Sao Paulo Journal of Mathematical Sciences as an essential avenue for their work.

Journal of the Indian Society for Probability and Statistics, published by SpringerNature in Germany, is a prominent platform dedicated to advancing the field of statistics and probability. With its E-ISSN of 2364-9569, the journal features rigorous research articles, reviews, and theoretical advancements aimed at promoting the application of statistical methodologies in diverse areas. As part of the academic community since 2016, it has maintained a commendable Q3 ranking in the Statistics and Probability category for 2023, indicating its growing influence and relevance. As the journal aims to foster collaborations among statisticians and probabilists, it serves as an invaluable resource for researchers, professionals, and students looking to deepen their understanding and share innovative ideas. While the journal operates under a subscription model, its commitment to open access publication contributes to the broader dissemination of knowledge in this vital field, further enhancing its importance and utility within the scientific landscape.

Canadian Journal of Statistics - Revue Canadienne de Statistique is a prestigious publication in the field of statistics, managed by Wiley. Since its inception in 1973, this journal has served as an essential resource for researchers, practitioners, and students, offering insights into a diverse range of statistical methodologies and applications. With its impact reflected in its 2023 categorization as Q2 in Statistics and Probability and Q3 in Statistics, Probability and Uncertainty, the journal stands out among its peers, exemplifying rigorous standards in empirical research. The journal's ISSN is 0319-5724 and its E-ISSN is 1708-945X, providing a robust platform for the dissemination of knowledge in the field. While it does not offer open access, the journal remains highly regarded and well-cited, contributing significantly to the advancement of statistical theory and practice. As it continues to publish cutting-edge research through to 2024, the Canadian Journal of Statistics is a must-read for anyone seeking to stay informed on the latest trends and developments in statistics.

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS is a distinguished journal published by Taylor & Francis Inc, dedicated to advancing the field of statistics through rigorous theoretical and methodological research. With an ISSN of 0361-0926 and an E-ISSN of 1532-415X, this journal serves as an essential platform for statisticians, researchers, and academics to disseminate their findings and engage in scholarly discourse. It covers a broad spectrum of topics within the realms of statistics and probability, maintaining its relevance in the academic community, as indicated by its prestigious Q3 category rank and Scopus percentile ranking of 51st in its field. Launched in 1976, the journal has been pivotal in shaping contemporary statistical methodologies up to 2024 and offers a robust archive of knowledge and insights, despite its non-Open Access status. By fostering high-quality peer-reviewed articles, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS continues to play a vital role in the development and dissemination of statistical theory, making it indispensable for students and professionals striving to stay at the forefront of statistical science.

The Journal of Statistical Theory and Practice is a premier publication dedicated to disseminating cutting-edge research and methodologies within the fields of statistics and probability. Published by Springer, this journal plays a crucial role in advancing the discipline by providing a platform for both theoretical and applied statistical research. With an ISSN of 1559-8608 and an E-ISSN of 1559-8616, the journal has established itself as a notable contributor to academic discourse since its inception in 2007. It offers insights that are essential for researchers, professionals, and students, fostering a deeper understanding of statistical applications across various domains. Despite its current Q3 ranking in Statistics and Probability, the journal is poised for growth, supporting the academic community with open access options and an aim to bridge the gap between statistical theory and everyday practice. By continuing to curate high-quality research, the Journal of Statistical Theory and Practice is committed to enriching the field and encouraging innovative statistical methodologies up until its envisaged convergence in 2024.

SCANDINAVIAN JOURNAL OF STATISTICS is a premier publication in the field of statistics, published by Wiley. With an impressive impact factor that reflects its influence, this journal is recognized for its rigorous peer-reviewed research articles that contribute to the advancement of statistical methods and their applications. As a leading resource, the journal spans a wide range of topics within Statistics and Probability, maintaining a strong scholarly presence with a Q1 rank in Statistics and Probability and a Q2 rank in Statistics, Probability and Uncertainty as per the 2023 category quartiles. The journal has been diligently publishing high-quality research since 1996, and now encompasses studies up to 2024, reinforcing its commitment to providing valuable insights for researchers, professionals, and students alike. While the journal does not offer open access, it remains an essential repository of knowledge in statistical sciences, fostering collaboration and innovation within the global academic community.

Sankhya-Series A-Mathematical Statistics and Probability is a prestigious academic journal published by SPRINGER, situated in the United States. With a focus on the rapidly evolving fields of mathematical statistics and probability, this journal serves as a critical platform for researchers, professionals, and students seeking to disseminate their findings and engage with latest advancements. Although it is not an open access publication, its rigorous peer-review process ensures high-quality content that contributes to the scholarly community. As of 2023, the journal is classified within the Q3 quartile in both Statistics and Probability, and Statistics, Probability and Uncertainty categories, reflecting its relevance and growing influence in the field. Sankhya-Series A showcases a convergence of interdisciplinary approaches, facilitating dialogue among statisticians and mathematicians, making it an essential resource for those committed to the exploration of theoretical and applied statistics. The journal accepts contributions advancing innovative research and methodologies, promoting a deeper understanding of probabilistic models and statistical techniques.