Ekonomika i Matematiceskie Metody - Economics and Mathematical Methods is a distinguished journal published by the esteemed Russian Academy of Sciences and the State Academy of Humanities (GAUGN). It serves as a vital resource in the interdisciplinary field of economics and mathematical applications, focusing on advanced theories, methodologies, and quantitative techniques that drive economic research and practice. With an ISSN of 0424-7388, this journal is geared towards researchers, professionals, and students who seek to contribute to the evolving landscape of economic theory and mathematics. Although the journal does not currently offer open access, it remains committed to fostering rigorous academic discourse. Through its insightful articles, Ekonomika i Matematiceskie Metody plays a crucial role in disseminating influential concepts and methodologies, making it an essential publication within the realm of economic sciences.

JOURNAL OF MATHEMATICAL ECONOMICS, published by Elsevier Science SA, is a premier journal that bridges the gap between mathematics and economics, making significant contributions to both fields since its inception in 1974. This journal is dedicated to publishing high-quality research that applies mathematical methods to solve complex economic problems, thus nurturing an interdisciplinary dialogue essential for advancing both theoretical and practical applications in economics. With an impact factor that reflects its esteemed position (Q2 in Applied Mathematics and Economics and Econometrics as of 2023), the journal ranks prominently within its categories, promoting rigorous analysis and innovative methodologies. The Journal of Mathematical Economics invites contributions from researchers, professionals, and students alike, providing a platform for the dissemination of cutting-edge research that shapes economic thought and policy. Operating without open access, it remains a crucial resource for anyone keen to delve deeper into the mathematical foundations of economic theory, while it continues to evolve and maintain relevance through 2024 and beyond.

NETWORKS & SPATIAL ECONOMICS, published by SPRINGER, stands at the forefront of research within the disciplines of artificial intelligence, computer networks, and software engineering. With an ISSN of 1566-113X and E-ISSN 1572-9427, this esteemed journal boasts an impressive impact factor and is recognized in the Q2 and Q3 quartiles in its respective categories for 2023. As a vital resource for researchers and professionals, it offers a dynamic platform for disseminating innovative findings that explore the intersections of spatial economics and network theory. The journal has evolved significantly since its inception in 2005, with its convergence period extending to 2024, showcasing its commitment to advancing scholarly discourse and providing access to critical advancements in the field. Aimed at academics, practitioners, and students alike, NETWORKS & SPATIAL ECONOMICS is essential for anyone seeking to deepen their understanding of how spatial frameworks and network dynamics influence economic systems.

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.

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.

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 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.

Mathematics and Financial Economics, published by Springer Heidelberg, is a leading peer-reviewed journal that explores the intersections of mathematical theories and financial practices. With an ISSN of 1862-9679 and an E-ISSN of 1862-9660, the journal has made notable contributions to its field since its inception in 2007, with a convergence period extending until 2024. Positioned in the prestigious Q2 category for both Finance and Statistics and Probability, the journal is ranked within the top 66th percentile in Mathematics and Statistics and the 62nd percentile in Decision Sciences according to Scopus metrics. Researchers and professionals looking for high-quality, innovative research in mathematical finance will find valuable insights within its pages. Although primarily a subscription-based journal, it aims to foster knowledge sharing among academia and industry experts. Its commitment to advancing quantitative methods and financial applications solidifies its importance as a resource for students, researchers, and practitioners dedicated to understanding and navigating the complex dynamics of financial markets.

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.

Quantitative Economics is a leading open-access journal published by WILEY, dedicated to advancing the field of economics through rigorous quantitative analysis. Established in 2010 and based in the United States, this influential journal boasts an impressive Q1 rating in the 2023 category of Economics and Econometrics, reflecting its high impact and quality within the field. With a Scopus ranking of #222 out of 716 in the Economics and Econometrics category, it sits comfortably in the 68th percentile, underscoring its relevance to researchers and professionals alike. The journal accepts a wide range of submissions, including original research articles, methodological advancements, and comprehensive reviews, which contribute to the understanding and application of quantitative methods in economic research. By providing immediate open access to all published articles, Quantitative Economics ensures that vital findings are readily available to academics, policymakers, and students across the globe, enhancing collaboration and innovation within the discipline.