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.

JOURNAL OF BUSINESS & ECONOMIC STATISTICS is a premier academic journal published by Taylor & Francis Inc, dedicated to disseminating high-quality research in the fields of business, economics, and statistics. With an impressive impact in the academic community, the journal maintains a distinguished Q1 ranking across various categories including Economics and Econometrics, Social Sciences (miscellaneous), and Statistics and Probability, showcasing its relevance and influence in contemporary research. Since its inception in 1983, the journal has served as a vital resource for researchers, professionals, and students seeking insights into quantitative methodologies and their application in the economic domain. While the journal is not currently open access, its rigorous peer-review process ensures that published articles are of the highest scholarly standards. Researchers and practitioners alike will find a rich repository of empirical and theoretical studies that foster knowledge advancement in the intersecting realms of business, economics, and statistical analysis.

Welcome to the Romanian Journal of Economic Forecasting, a prestigious publication dedicated to advancing the field of economics and econometrics since its inception in 2008. Published by the Institute of Economic Forecasting, this esteemed journal provides a platform for scholarly articles that contribute to the theoretical and practical understanding of economic trends and forecasting methods. With an impactful presence in the Q3 category of Economics, Econometrics, and Finance, it ranks well on Scopus within its field, holding position #130 out of 288 journals, placing it in the 55th percentile. The Romanian Journal of Economic Forecasting aims to bridge the gap between theory and practice, making it a crucial resource for researchers, professionals, and students eager to engage with contemporary economic issues. Though it operates under traditional accessibility, it encourages authors from diverse backgrounds to share their groundbreaking research, fostering a dynamic academic environment. Explore the rich insights offered by this journal and join a community dedicated to the evolution of economic thought.

Malaysian Journal of Computer Science is a prominent academic journal dedicated to advancing the field of computer science, published by the esteemed University of Malaya, Faculty of Computer Science & Information Technology. With historical coverage spanning from 1996 to 2024, this journal plays a vital role in disseminating innovative research and developments in various areas of computer science. Recognized with a 2023 Scopus rank in the top half of its category, ranked #137 out of 232, it holds a Q3 quartile position in the field of General Computer Science. The journal serves as a platform for researchers, professionals, and students to share groundbreaking findings and foster collaboration within the community. While currently not offering open access, its commitment to quality and academic integrity remains unwavering, making it an essential source for anyone interested in the latest advancements in informatics and technology.

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.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

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.

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.

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.

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.