Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.

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.

Central European Journal of Economic Modelling and Econometrics (ISSN: 2080-0886, E-ISSN: 2080-119X) is a premier academic publication housed under the auspices of the Polish Academy of Sciences - Lodz Branch. Since its establishment, this journal has served as a crucial platform for scholars and practitioners alike, focusing on the dynamic realms of economic modeling and econometrics. The journal is dedicated to advancing the understanding of economic systems and statistical methodologies, striving to bridge theoretical approaches with practical applications. Although currently categorized in the Q4 quartile across various fields such as Applied Mathematics, Economics, and Statistics, its commitment to rigorous research and scholarly discourse ensures it remains an important resource for academics looking to contribute insights in these sectors. Published in Poland and featuring articles aimed at enhancing the body of knowledge in econometric modeling, this journal embraces an open-access model, allowing for greater dissemination of research findings to a global audience. Researchers, professionals, and students will find valuable contributions that not only highlight emerging trends but also foster innovation in the field of economic sciences.

The Journal of Commodity Markets, published by ELSEVIER, is a leading academic platform dedicated to the multifaceted field of commodity markets, encompassing various aspects of economics, finance, and econometrics. Established in 2016, this journal has rapidly gained recognition, reflected in its respectable impact factor and Scopus rankings, which place it in the Q2 category for both Economics and Finance, situating it among the top 20% of journals in these areas. With an accessible ISSN (2405-8513) and E-ISSN (2405-8505), the journal appeals to researchers, professionals, and students alike, providing a rich resource for understanding the dynamics of commodity trading, market analysis, and economic implications. Although it does not currently offer open access, its rigorous peer-review process ensures high-quality publications that contribute significantly to the discourse in commodity market studies. Housed in the Netherlands, the journal uniquely positions itself to influence and reflect on global commodity market trends up to the present year, 2024.

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.

Econometric Reviews, published by Taylor & Francis Inc, is a premier journal in the field of Economics and Econometrics, recognized for its significant contributions to the advancement of economic theory and practice since its inception. With its ISSN 0747-4938 and E-ISSN 1532-4168, the journal has maintained a consistent publication record from 1982 to 2024, offering a platform for groundbreaking research that shapes the landscape of quantitative economic analysis. With a proud place in the Q1 category for Economics and Econometrics as of 2023, it stands as a critical resource for scholars, practitioners, and students alike, actively engaging with themes such as econometric methods, theory, and policy implications. Although operating under a subscription model, the journal’s high impact factor reflects its esteem within the academic community, fostering a rich dialogue among researchers in this evolving discipline. The journal’s office is located at 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA, forging connections in one of the central hubs of economic research.

NEUROCOMPUTING is a premier academic journal published by ELSEVIER, specializing in the interdisciplinary fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. With an impressive impact factor and a Q1 ranking in its relevant categories for 2023, NEUROCOMPUTING is recognized as a leader in fostering innovative research and providing a platform for ground-breaking studies. The journal’s scope covers the convergence of neural computation and artificial intelligence, making it essential reading for researchers and professionals seeking to explore the latest advancements and applications in these dynamic fields. For those interested in the cutting-edge intersection of neuroscience and computational techniques, NEUROCOMPUTING offers a wealth of knowledge that significantly contributes to both theoretical and practical advancements. The journal is dedicated to publishing high-quality, peer-reviewed articles and is an invaluable resource for students and established scholars alike, looking to stay at the forefront of research trends.

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.

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.

International Journal of Computational Economics and Econometrics is a peer-reviewed academic journal published by INDERSCIENCE ENTERPRISES LTD, focusing on the intersection of computational methodologies and economic analysis. With an ISSN of 1757-1170 and an E-ISSN of 1757-1189, this journal provides a crucial platform for researchers and professionals interested in innovative computational approaches to tackle real-world economic problems. While it currently does not operate under an open-access model, the journal is committed to advancing knowledge in its field, particularly as it occupies a vital niche within Computer Science Applications and Economics and Econometrics, ranking in the Q4 quartile for both categories as of 2023. Covering the period from 2017 to 2024, the journal aims to foster interdisciplinary collaboration and encourage the integration of advanced computational techniques into traditional economic theory and practice. As it continues to evolve, the International Journal of Computational Economics and Econometrics remains essential for academics and practitioners looking to stay at the forefront of technological innovations in economics.