The Brazilian Journal of Probability and Statistics, published by the Brazilian Statistical Association, stands as a pivotal platform for researchers and practitioners in the realms of probability and statistics. With an ISSN of 0103-0752, this esteemed journal has contributed significantly to the advancement of statistical theory and its applications since its inception. The journal is currently indexed in Scopus, holding a rank of #175 in the Statistics and Probability category and a third quartile (Q3) designation as of 2023, indicating its steady impact within the field. Covering a broad scope of topics, from theoretical advancements to practical applications, it invites submissions that enhance understanding and fosters discussion among academics and professionals alike. The journal is based in São Paulo, Brazil, and operates without open access, ensuring a quality review process that adheres to the highest scholarly standards. Researchers, professionals, and students interested in the latest findings and innovative methodologies in statistics are encouraged to engage with the Brazilian Journal of Probability and Statistics, a vital resource at the intersection of theory and practice.

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.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, published by TAYLOR & FRANCIS INC, is a pivotal journal in the fields of statistics, modeling, and simulation, catering to an audience of researchers, professionals, and students. With an ISSN of 0361-0918 and an E-ISSN of 1532-4141, this esteemed journal has been disseminating knowledge since 1976, covering a wide range of innovative methodologies and applications in statistics. Ranked in the third quartile for both Modeling and Simulation, and Statistics and Probability, as per the 2023 Category Quartiles, this journal serves as a crucial platform for advancing academic discourse and practical applications in these areas. Though not open access, it houses a wealth of peer-reviewed articles that contribute to the advancement of statistical theory and computational techniques, while its Scopus ranking positions it among the significant publications in the relevant fields. For those looking to stay at the forefront of statistical science, this journal is an invaluable resource.

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

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.

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.

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.

COMPUTATIONAL STATISTICS & DATA ANALYSIS, published by Elsevier, is a leading academic journal that has made significant contributions to the fields of Applied Mathematics, Computational Mathematics, Computational Theory and Mathematics, and Statistics and Probability. With an impressive ranking of Q1 in multiple categories, this journal stands at the forefront of scholarly research and innovation. Leveraging its digital accessibility through E-ISSN 1872-7352, the journal facilitates the dissemination of high-quality research findings and methodologies essential for advancing statistical techniques and data analysis applications. Operating from its base in Amsterdam, Netherlands, the journal features rigorous peer-reviewed articles that cater to a diverse readership including researchers, professionals, and students. As a vital resource for cutting-edge developments from 1983 to its ongoing publication in 2025, COMPUTATIONAL STATISTICS & DATA ANALYSIS continues to foster academic discourse and propel the field forward, ensuring that emerging trends and established theories are effectively communicated to the scientific community.

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.

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.