JOURNAL OF ECONOMIC DYNAMICS & CONTROL, published by Elsevier, is a distinguished scholarly journal that has established itself as a leading outlet in the fields of applied mathematics, control and optimization, and economics and econometrics since its inception in 1979. With its notable Q1 categorization in 2023 across these disciplines, this journal provides a platform for innovative research that propels theory and practice in dynamic systems and control processes. Researchers, professionals, and students can engage with cutting-edge studies that explore complex economic models and their real-world applications. Although the journal does not offer open access, it remains a vital resource for those aiming to stay informed of the latest advancements in economic dynamics and control methodologies. The journal’s commitment to high-quality research and its impressive standing—ranked in the top percentiles within Scopus categories—underscore its importance and influence within the academic community.

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.

Advances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.

Econometrics Journal, published by Oxford University Press, stands as a premier outlet for original research in the fields of Economics and Econometrics, boasting a commendable 2023 Q1 ranking within its category and an impressive 69th percentile rank in Scopus. Since its inception in 2006, the journal has consistently provided a platform for innovative methodologies and applications that contribute to the advancement of econometric theory and practice. With a focus on high-quality, peer-reviewed articles, the journal serves as a vital resource for researchers, professionals, and students alike, facilitating the dissemination of cutting-edge insights that push the boundaries of knowledge in economic analysis. Although it operates under a traditional subscription model, the journal's commitment to excellence and relevance in modern economic discourse positions it as an essential reference for those seeking to navigate the complexities of econometric research.

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 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.

MACROECONOMIC DYNAMICS, a distinguished academic journal published by Cambridge University Press, serves as a pivotal platform for innovative research in the fields of economics and econometrics. With its ISSN 1365-1005 and E-ISSN 1469-8056, the journal has been at the forefront of scholarly communication since its inception in 1997, offering an extensive range of articles that explore dynamic economic models, policy impacts, and theoretical advancements through the latest empirical analyses. Currently holding a Q2 ranking within the 2023 Economics and Econometrics category, and positioned at rank #409 out of 716 within Scopus, it is an essential resource for researchers, professionals, and students alike, looking to stay updated on critical developments in macroeconomic theory and practice. Although it follows a traditional subscription model rather than Open Access, the journal continually strives to disseminate high-quality, peer-reviewed content that informs and inspires the global economics community. The importance of MACROECONOMIC DYNAMICS lies in its commitment to fostering a deeper understanding of economic phenomena, making it a must-read for anyone engaged in the complexities of the economic landscape.

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.

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.

JOURNAL OF FORECASTING, published by Wiley, stands as a vital resource in the fields of forecasting and predictive analytics, dedicated to advancing theoretical and practical knowledge. With a rich history dating back to its inception in 1982, the journal covers an extensive range of disciplines, evidenced by its impressive standing across several Scopus rankings, including Q1 in Modeling and Simulation and Q2 in Economics, Management Science, and Statistics among others. The journal holds an esteemed impact factor, indicative of its rigorous peer-review process and the significance of its contributions, making it essential reading for researchers, practitioners, and students alike. While the journal is not open access, it offers various subscription options to ensure that its valuable content is accessible to a wider audience. As it converges towards its 2024 milestone, the JOURNAL OF FORECASTING continues to forge paths in methodological advancements and empirical applications, reinforcing its reputation as a foremost publication in predictive modeling.