STATISTICAL MODELLING, published by SAGE Publications Ltd in the United Kingdom, is a prominent peer-reviewed journal dedicated to the evolving domain of statistics and its application in various scientific fields. With the ISSN 1471-082X and E-ISSN 1477-0342, this journal serves as a vital platform for researchers and practitioners to disseminate innovative methodologies, theoretical advancements, and practical applications pertaining to statistical modelling. Covering research from 2001 to 2024, the journal consistently contributes to the discourse within the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty categories. Furthermore, it ranks in the 54th percentile for Mathematics - Statistics and Probability and in the 53rd percentile for Decision Sciences, reflecting its growing reputational value among academic peers. Although this journal does not include Open Access options, its rigorous selection process and scholarly contributions ensure that it remains an essential resource for statistical research. Researchers, professionals, and students alike will find STATISTICAL MODELLING to be an indispensable reference for advancing their understanding and application of statistical techniques.

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 Journal of Operational Oceanography, published by Taylor & Francis Ltd, stands as a pivotal platform within the field of oceanography, focusing on the integration of operational practices, technology, and scientific research. With a strong impact factor and a notable Q2 quartile ranking in the category of Earth and Planetary Sciences, this journal offers researchers, professionals, and students a vital resource for disseminating new knowledge and innovative methodologies related to ocean studies. Covering a range of topics from marine data analysis to the application of oceanographic principles in sustainable practices, the journal’s content is crucial for advancing understanding in this dynamic field. Operating since 2008 and continuing through 2024, it is dedicated to fostering collaboration and dialogue among the scientific community, ensuring accessibility to essential findings that drive informed decision-making in marine science. With its commitment to high-quality, peer-reviewed articles and a ranking in the top 10th percentile of its category, the Journal of Operational Oceanography is an indispensable resource for those looking to make significant contributions to marine research.

The INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, published by TAYLOR & FRANCIS LTD, is a prestigious peer-reviewed journal dedicated to advancing the fields of systems theory and its applications across a variety of scientific disciplines. With an ISSN of 0308-1079 and an E-ISSN of 1563-5104, this journal has carved a niche since its inception in 1974, continuing to provide a platform for innovative research through to 2024. Featured in the esteemed Q2 category in multiple domains, including Computer Science Applications, Control and Systems Engineering, and Information Systems, it serves as a vital resource for the scientific community, fostering interdisciplinary collaboration. The journal's rankings in Scopus reflect its quality, with noteworthy positions in fields such as Mathematics, Engineering, and Theoretical Computer Science. While access is through subscription, the journal remains an essential conduit for researchers, professionals, and students eager to deepen their understanding of general systems and their complex interactions within various environments.

Tropical Cyclone Research and Review is a leading open-access journal dedicated to advancing the understanding of tropical cyclones and their impacts on the environment, society, and economies. Published by KEAI PUBLISHING LTD since 2012, this journal presents a platform for high-quality research and insightful reviews in the fields of atmospheric science, earth sciences, and safety research. With established quartile rankings, including Q1 in Modeling and Simulation and Safety Research, and a significant presence in various scientific rankings such as the Scopus Ranks, the journal is increasingly recognized for its contributions to these critical areas of study. It is particularly valuable for researchers, professionals, and students engaged in the complexities of tropical meteorology and disaster management. Based in China, Tropical Cyclone Research and Review aims to foster academic collaboration and disseminate knowledge that addresses the challenges posed by tropical cyclones, ensuring accessibility to all through its open-access model.

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.

Econometrics, published by MDPI, is a prominent open access journal based in Switzerland, dedicated to advancing research in the fields of economics and econometrics. Since its inception in 2013, this journal has been pivotal in disseminating innovative theories and empirical findings, fostering an engaging dialogue among scholars and practitioners. With an impressive Q2 ranking in the 2023 category of Economics and Econometrics and a solid position at #378 out of 716 in Scopus rankings, it stands as a vital resource for those seeking to enhance their understanding and application of econometric methods. The journal offers immediate open access to its published articles, ensuring that researchers, professionals, and students alike can easily access and contribute to the evolving body of knowledge in this essential discipline. The scope of Econometrics encourages submissions that cover a broad array of topics, making it a dynamic platform for innovative research until 2024 and beyond.

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.

Computational Economics is a premier journal dedicated to advancing the interdisciplinary field that bridges computational methods and economic theory. Published by Springer in the Netherlands, this journal serves as a critical platform for researchers and practitioners from economics, econometrics, and computer science, fostering innovation and cross-pollination of ideas from 1993 to 2024. With a notable impact factor in its categories—ranking Q2 in Economics, Econometrics, and Finance and Q3 in Computer Science Applications—Computational Economics consistently delivers rigorous peer-reviewed research that addresses contemporary challenges in economic modeling and computational techniques, making it an indispensable resource for the academic community. The journal provides a range of access options and is indexed in Scopus, where it holds a strong position in the 78th percentile of its category, ensuring high visibility and engagement for published works. Researchers, students, and professionals will find valuable insights across its diverse scope, facilitating the exploration of new methodologies that shape the future of economic analysis.

JOURNAL OF TIME SERIES ANALYSIS, published by Wiley, is a premier academic journal dedicated to the field of time series analysis, serving as a pivotal resource for researchers, professionals, and students in applied mathematics and statistics. With a strong commitment to advancing scholarly knowledge since its inception in 1980, the journal focuses on innovative methodologies and applications in time series data, highlighting its relevance in various domains, including economics, finance, and environmental studies. Although the journal currently does not offer open access, it maintains a robust reputation, reflected in its 2023 Q1 and Q2 quartile rankings in applied mathematics and statistics, respectively. The contributions published in this journal are instrumental for advancing theoretical frameworks and practical applications in data analysis. Stay informed of cutting-edge research and methodologies by engaging with the JOURNAL OF TIME SERIES ANALYSIS, which is accessible through various academic databases.