Journal of Verification, Validation and Uncertainty Quantification, published by ASME, serves as an essential platform for researchers and professionals within the fields of computational theory, computer science applications, modeling, and statistics. Established in 2016, this journal has garnered a reputation for contributing high-quality scientific discourse and innovative methodologies to ensure the reliability and accuracy of engineering and computational models. Despite being placed in Q4 quartiles across various categories in 2023, the journal continues to attract attention for its focus on critical issues such as uncertainty quantification and model validation, making it a valuable resource for academia and industry alike. Although the journal does not currently offer open access, it provides a diverse range of articles that aim to advance understanding in these pivotal areas. With an aim toward bridging theoretical research and practical application, the Journal of Verification, Validation and Uncertainty Quantification supports the growing demand for robust analytical techniques amid the complexities of modern engineering and computational challenges.

Data Science in Finance and Economics is a pioneering journal published by the American Institute of Mathematical Sciences (AIMS), devoted to the intersection of data science with the fields of finance and economics. Established as an open-access journal since 2021, it aims to disseminate high-quality research that unravels complex financial phenomena and economic models through innovative data-driven methodologies. With a commitment to advancing knowledge in this rapidly evolving discipline, the journal encourages submissions that encompass theoretical studies, empirical research, and application-based articles from both academia and industry. While the journal is relatively new, its potential to significantly influence the discourse in finance and economics is profound, offering researchers, professionals, and students an invaluable resource to stay abreast of current trends and methodologies in data science. For access to cutting-edge research and insights, visit AIMS and contribute to the ongoing conversation in this essential field.

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.

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.

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.

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

Statistics & Risk Modeling is a distinguished journal published by WALTER DE GRUYTER GMBH, focusing on the intricate relationships between statistical methodologies and risk assessment techniques. With a strong academic foundation, the journal has been an influential platform in its field since its inception, converging contributions from 1982 to 2002 and again from 2011 to 2024. This journal is currently ranked in the Q3 category in both Modeling and Simulation and Statistics and Probability, reflecting its commitment to advancing knowledge and promoting robust research in statistics, probability, and uncertainty analysis. Although it offers a traditional subscription model, its significant contribution to the community is underscored by its increasing visibility in Scopus rankings, where it stands in the 44th percentile for Decision Sciences and Statistics. By comprehensively addressing contemporary issues in statistical theory and its practical applications, Statistics & Risk Modeling serves as an essential resource for researchers, professionals, and students aiming to deepen their understanding of statistical science and its implications in risk management.

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.

Journal of Time Series Econometrics, published by WALTER DE GRUYTER GMBH, serves as a pivotal platform for current research within the fields of Economics and Econometrics. With an ISSN of 2194-6507 and E-ISSN 1941-1928, this journal is dedicated to the advancement of time series analysis techniques and their practical application in economic contexts. Operating from Germany, the journal seeks to foster a vibrant intellectual environment, inviting contributions that push the boundaries of established theories and methodologies. With an established influence in academia, recent evaluations have placed the journal within the Q4 category in the 2023 rankings for Economics and Econometrics, alongside a notable 39th percentile ranking in Scopus. Although currently lacking open access options, the journal promotes crucial discussions and knowledge dissemination on innovative econometric practices. The period from 2016 to 2024 marks a significant phase of convergence in the journal's evolution, promising ongoing relevance and engagement for researchers, professionals, and students eager to explore the complexities of time series analysis and its implications within economic theory.

The Journal of Statistics and Management Systems, published by TARU PUBLICATIONS, serves as a pivotal platform for researchers, professionals, and students in the field of statistics and management. With a focus on disseminating innovative research and methodologies that address complex statistical issues and their applications in management, this journal aims to bridge the gap between theoretical frameworks and practical implementations. Although currently categorized under traditional access, the journal maintains an impressive reputation for quality and integrity within its discipline. Located in New Delhi, India, it fosters a global discourse by featuring cutting-edge studies that contribute to both academic scholarship and corporate governance. As the demand for data-driven decision making continues to rise, the Journal of Statistics and Management Systems remains an invaluable resource, offering insights that are essential for steering effective management practices in various sectors.