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.

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.

Journal of Econometrics, published by ELSEVIER SCIENCE SA, is a leading journal in the fields of applied mathematics and econometrics, with a commendable reputation established since its inception in 1973. The journal's ISSN 0304-4076 and E-ISSN 1872-6895, reflect its commitment to quality research output, and it enjoys a high impact factor, ranking in the Q1 category for economics and applied mathematics as per the latest 2023 assessments. The journal aims to provide rigorous theoretical developments, empirical analyses, and methodologies in the rapidly evolving discipline of econometrics, thus catering to a diverse audience of researchers, professionals, and students alike. While currently not offered in an open access format, the quality and depth of research articles published within its pages make it a vital resource for anyone interested in the quantitative analysis of economic data. With a strong ranking in Scopus, particularly in the 96th percentile for applied mathematics, Journal of Econometrics continues to be at the forefront of academic inquiry, fostering advancements in both theory and practice within the global economy.

Journal of Financial Econometrics, published by Oxford University Press, stands as a leading academic journal in the fields of financial economics and econometrics. With an impressive impact factor and a ranking in the Q1 quartile for both Economics and Finance categories in 2023, this journal is recognized for its contribution to advancing theoretical and applied methodologies in financial econometric analysis. It publishes high-quality research that addresses critical issues in finance, aiming to foster a deeper understanding of the economic factors influencing financial markets and instruments. Researchers and practitioners alike benefit from its rigorous peer-reviewed articles, which are invaluable resources for both academic scholars and finance professionals. The journal’s content typically spans pioneering techniques in econometric modeling, empirical analysis of financial instruments, and innovative applications of econometric theory in real-world scenarios. Operating out of the United Kingdom, the journal continues to serve as a vital platform for disseminating significant research findings from 2005 to 2024, ensuring that the latest advancements in the field are accessible to its audience.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, published by Taylor & Francis Ltd, is a premier journal dedicated to advancing the fields of statistical computation, modeling, and simulation. With a notable impact factor and a ranking in the Q2 quartile across important categories such as Applied Mathematics and Statistics, this journal serves as a vital resource for researchers, practitioners, and students alike. Established in 1972, it has consistently provided cutting-edge research insights, fostering a deeper understanding of statistical methodologies and their practical applications. Although it operates under a subscription model, the journal's commitment to disseminating high-quality research is reflected in its rigorous peer-review process and a broad international readership. With its scope spanning the intersections of statistics, probability, and computational techniques, the journal is essential for anyone looking to stay at the forefront of statistical innovation and practice.

Econometric Reviews, published by Taylor & Francis Inc, is a premier journal in the field of Economics and Econometrics, recognized for its significant contributions to the advancement of economic theory and practice since its inception. With its ISSN 0747-4938 and E-ISSN 1532-4168, the journal has maintained a consistent publication record from 1982 to 2024, offering a platform for groundbreaking research that shapes the landscape of quantitative economic analysis. With a proud place in the Q1 category for Economics and Econometrics as of 2023, it stands as a critical resource for scholars, practitioners, and students alike, actively engaging with themes such as econometric methods, theory, and policy implications. Although operating under a subscription model, the journal’s high impact factor reflects its esteem within the academic community, fostering a rich dialogue among researchers in this evolving discipline. The journal’s office is located at 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA, forging connections in one of the central hubs of economic research.

Statistical Inference for Stochastic Processes is a premier academic journal published by SPRINGER, dedicated to advancing the field of statistical methods in stochastic processes. With an ISSN of 1387-0874 and an E-ISSN of 1572-9311, this journal provides a platform for rigorous research and innovative methodologies from 2005 through to 2024. It is positioned in the Q3 category for Statistics and Probability, ranking #194 out of 278 within the Scopus Mathematics domain, reflecting its significance among academic peers despite its relatively junior status in citation metrics. As a resource for researchers, professionals, and students alike, this journal aims to publish high-quality, peer-reviewed articles that contribute to the understanding and application of stochastic processes, making it an essential part of the statistical sciences landscape. While not offering open access, subscribers and institutions will find a wealth of knowledge and insights that are pivotal for both theoretical and practical advancements in statistics.

REVSTAT-Statistical Journal, published by the Instituto Nacional de Estatística (INE)Open Access model established in 2003, REVSTAT promotes the free dissemination of high-quality research, ensuring broad accessibility to its published works. Although it currently holds a Q4 category ranking in Statistics and Probability according to Scopus, the journal aims to enhance its contributions to the statistical community by featuring innovative methodologies, theoretical advancements, and applied statistical research. With a convergence period extending from 2010 to 2024, REVSTAT invites submissions that not only enrich the discipline but also encourage interdisciplinary collaboration. Its commitment to developing statistical knowledge makes it a noteworthy avenue for anyone seeking to engage with contemporary statistical discourse.

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.

Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.