Statistics and Computing is a premier journal published by Springer, dedicated to advancing the fields of statistics and computational theory. With a strong focus on interdisciplinary research, this journal covers a broad spectrum of topics including, but not limited to, statistical methodologies, computational algorithms, and the latest advancements in data analysis. As of 2023, it proudly holds a Q1 ranking in multiple categories including Computational Theory and Mathematics and Statistics and Probability, underscoring its significant influence and recognition within the academic community. The journal's impact is further demonstrated by its commendable positions in Scopus ranks, making it a valuable resource for researchers, professionals, and students alike. Published in the Netherlands, Statistics and Computing is known for its rigorous peer-review process and commitment to quality, ensuring that only the most impactful research is disseminated to the global audience. Submissions from a diverse range of backgrounds are encouraged, fostering an inclusive environment for innovation and collaboration in the statistics and computing realm.

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

BERNOULLI is a prestigious peer-reviewed journal dedicated to the field of Statistics and Probability, published by the renowned International Statistical Institute. Since its inception in 1995, this journal has established itself as a vital resource for researchers and professionals, achieving a remarkable impact factor and consistently ranking in the top quartile (Q1) of its category as of 2023. With a strong presence in the Scopus database, where it ranks #64 among 278 journals in Mathematics, it places in the 76th percentile, underscoring its significance in the academic landscape. Although not an open-access journal, its contributions are pivotal for advancing statistical theory and its applications across various disciplines. As Berounlli continues to evolve until 2024, it remains committed to disseminating high-quality research that fosters innovation and supports the global analytics community. The journal’s scope encompasses a wide range of topics in statistics, including but not limited to theoretical statistics, applied statistics, and data analysis, making it an essential read for anyone engaged in statistical research.

METRIKA is a distinguished journal published by Springer Heidelberg, specializing in the field of Statistics and Probability. Since its inception in 1958, this journal has been pivotal in advancing the study and application of statistical methods, theory, and research. With an impressive academic legacy extending to 2024, METRIKA holds a Q2 category ranking in both Statistics and Probability and Statistics, Probability and Uncertainty, as of 2023, which underscores its significance within the scholarly community. Researchers and professionals will find that METRIKA not only emphasizes the recent developments and applications in the field but also aims to foster an interdisciplinary dialogue among statisticians and data scientists. Its contributions are invaluable for those seeking to navigate the complexities of statistical methodologies. Although the journal primarily operates under a traditional access model, its commitment to excellence and relevance in statistical discourse ensures that it remains an essential resource for academics, practitioners, and students alike.

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.

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.

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

The Chilean Journal of Statistics is a vital resource for researchers, professionals, and students dedicated to the field of statistics and probability. Published by SOC CHILENA ESTADISTICA-SOCHE, this journal serves as a platform for the dissemination of innovative research and advancements in statistical methodologies, data analysis, and applications. With an ISSN of 0718-7912 and E-ISSN 0718-7920, the journal features contributions from the statistical community in Chile and beyond, reflecting its growing influence as evidenced by its classification in the Q3 quartile for 2023. Operating out of Chile, specifically from Santiago, the journal aims to converge its scope from 2019 to 2024 on providing high-quality, peer-reviewed articles that can inform and inspire academic and professional practices. While it is not an open-access journal, it remains a crucial outlet for impactful statistical research, fostering a deeper understanding of statistical concepts and their real-world applications.

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.

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.