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 Official Statistics, published by SAGE Publications Inc, is a premier open-access journal that has been fostering advancements in the field of statistics since its inception. With its focus on disseminating high-quality research from 1986 to present, this journal provides a vital platform for statistical practices, innovations, and methodologies applicable to various domains, including governmental and organizational data analysis. Recognized as a Q2 journal in the Statistics and Probability category with a Scopus ranking of #143 out of 278, the Journal of Official Statistics boasts a significant impact in informing statisticians and practitioners alike. Located in Sweden, this journal has embraced open access since 2013, ensuring that its comprehensive and research-driven content is accessible to a global audience. Whether you are a researcher, professional, or student, this journal serves as an essential resource for staying informed about the latest trends and discussions in the official statistical community.

CYBERNETICS AND SYSTEMS ANALYSIS is a distinguished journal published by Springer, focusing on innovative research and developments in the fields of cybernetics, systems analysis, and their applications within computer science. With an ISSN of 1060-0396 and E-ISSN of 1573-8337, this journal serves as a critical platform for disseminating groundbreaking ideas that drive advancements in computational theories and practices. Although it operates under a subscription model, the journal is highly regarded with a Q3 ranking in computer science, as of 2023, highlighting its relevance in the academic community. Covering a broad scope from the convergence years of 1991–2001 and 2003, and extending its reach from 2005 through 2024, CYBERNETICS AND SYSTEMS ANALYSIS plays a pivotal role in fostering dialogue and collaboration among researchers, professionals, and students, aiming to merge theory with practical applications in cybernetics and systems thinking.

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

ENGINEERING ECONOMIST, published by Taylor & Francis Inc, stands as a revered journal in the intersecting fields of economics, engineering, and education, with an ISSN of 0013-791X and E-ISSN of 1547-2701. Since its inception in 1955, this journal has provided a vital platform for researchers, practitioners, and students to disseminate and engage with novel insights and methodologies impacting the engineering economy. With a robust focus on the quantitative aspects of engineering management and decision-making, ENGINEERING ECONOMIST ranks within the Q3 category in multiple disciplines including Economics and Econometrics, Education, and Miscellaneous Engineering as of 2023, reflecting its significant contributions to the scholarly community. The journal’s Scopus rankings further emphasize its relevance, ranking #778 in Education and #158 in General Engineering. Although the journal does not offer Open Access options, it remains pivotal for advancing the dialogue at the nexus of technology and economics, making it an essential resource for anyone interested in the financial dimensions of engineering innovations.

INFORMS JOURNAL ON COMPUTING, published by INFORMS, stands as a quintessential platform for disseminating cutting-edge research and innovative methodologies in the realms of computing, information systems, and operations research. Since its inception in 1996, this journal has consistently maintained a prestigious Q1 quartile ranking across multiple categories, including Computer Science Applications, Information Systems, and Management Science and Operations Research, reflecting its significant impact and relevance in the academic community. The journal serves as a vital resource for researchers, professionals, and students alike, fostering interdisciplinary dialogue and the advancement of theoretical and practical contributions in computing. With no open access restrictions, it remains accessible to those engaged in the pursuit of knowledge and innovation in a rapidly evolving field. Housed in the United States, the journal continues to thrive, enriching the discourse in technology and its applications until 2024 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.

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.

JOURNAL OF APPLIED STATISTICS, published by Taylor & Francis Ltd, is a prestigious scholarly resource that has been at the forefront of advancing the field of statistics since its inception in 1970. With ISSN 0266-4763 and E-ISSN 1360-0532, this esteemed journal focuses on the application of statistical methods across various disciplines, emphasizing practical implementations that provide significant insights into real-world problems. As a Q2 journal in both Statistics and Probability and Statistics, Probability and Uncertainty, it holds remarkable standings in Scopus, with ranks in the 77th and 74th percentiles, respectively. Researchers and professionals will find a wealth of rigorous methodologies and innovative analyses within its pages, aiming to bridge the gap between theory and practice. Although it adopts a traditional subscription model, its extensive archive—from 1970 to the present—offers invaluable resources for statisticians and data analysts. The journal serves as an essential platform for disseminating impactful research, making it a vital tool for students, researchers, and practitioners committed to the advancement of statistical science.

Forecasting is an esteemed open-access journal published by MDPI, dedicated to advancing the fields of Computational Theory and Mathematics, Computer Science Applications, Decision Sciences, and Economics, since its inception in 2019. With its base in Switzerland, the journal aims to provide a fundamental platform for researchers, professionals, and students aiming to share high-quality research on mathematical methods for forecasting and prediction model development. As of 2023, Forecasting holds an impressive Q1 ranking in Economics, Econometrics, and Finance, alongside Q2 rankings in Computational Theory and Mathematics, Computer Science Applications, and Decision Sciences, reflecting its rigorous peer-review process and scientific impact. Forecasting has carved a niche as a leading publication, inviting high-quality contributions that stimulate innovation in forecasting methodologies across various applications in decision-making and economic analysis. This impact is further underscored by its commitment to open access, ensuring that research is readily accessible to the global academic community.