THEORY AND DECISION is a prestigious academic journal published by SPRINGER, which has been a cornerstone of interdisciplinary research since its inception in 1970. With an ISSN of 0040-5833 and an E-ISSN of 1573-7187, this journal offers valuable insights into a range of fields, including Applied Psychology, Decision Sciences, Economics, and more. Holding a remarkable position within various quartile rankings, such as Q1 in Arts and Humanities and Q2 in Economics, it signifies the journal's impact and relevance in modern academic discourse. Although not presently open access, it remains accessible to researchers and institutions that prioritize impactful studies and theoretical advancements. The journal's objectives include exploring decision-making processes and theoretical underpinnings that inform practical applications across disciplines, making it an essential resource for academics, professionals, and students dedicated to advancing knowledge in their respective fields. THEORY AND DECISION continues to shape the landscape of interdisciplinary research, providing a platform for innovative ideas and discussions that are crucial in today’s complex world.

The JOURNAL OF ECONOMIC THEORY, published by Academic Press Inc Elsevier Science, stands as a paramount platform for disseminating groundbreaking research within the field of economics and econometrics. With an impressive history dating back to 1969 and a convergence period extending to 2024, this journal has continually shaped the academic discourse around critical economic theories and methodologies. Currently recognized in the top quartile (Q1) of its category for 2023, it ranks prominently among its peers, boasting an impactful scholarly contribution reflected in its Scopus ranking—positioned at #348 out of 716 journals in the domain. Although it does not offer Open Access, the journal provides an essential resource for those seeking to enhance their understanding of complex economic models and strategies. Researchers, professionals, and students alike will find the JOURNAL OF ECONOMIC THEORY to be an invaluable asset for their academic and professional pursuits in the rapidly evolving landscape of economics.

ENGINEERING ECONOMIST, published by Taylor & Francis Inc, stands as a revered journal in the intersecting fields of economics, engineering, and education, with an ISSN of 0013-791X and E-ISSN of 1547-2701. Since its inception in 1955, this journal has provided a vital platform for researchers, practitioners, and students to disseminate and engage with novel insights and methodologies impacting the engineering economy. With a robust focus on the quantitative aspects of engineering management and decision-making, ENGINEERING ECONOMIST ranks within the Q3 category in multiple disciplines including Economics and Econometrics, Education, and Miscellaneous Engineering as of 2023, reflecting its significant contributions to the scholarly community. The journal’s Scopus rankings further emphasize its relevance, ranking #778 in Education and #158 in General Engineering. Although the journal does not offer Open Access options, it remains pivotal for advancing the dialogue at the nexus of technology and economics, making it an essential resource for anyone interested in the financial dimensions of engineering innovations.

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.

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.

Quantitative Finance and Economics, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering open-access journal committed to advancing the fields of finance and economics. Established to disseminate high-quality research, this journal has been an open-access platform since 2017, promoting wider accessibility to vital academic findings. It serves as a crucial resource for researchers and professionals alike, offering valuable insights through rigorous studies in quantitative methods that influence financial and economic decision-making. Although current Scopus rankings indicate emerging challenges, with a rank in the lower percentiles across various categories, Quantitative Finance and Economics strives to gain recognition by bridging theoretical frameworks with practical applications. The journal invites contributions that explore innovative quantitative techniques and their implications in contemporary economic scenarios, thus underscoring its role in shaping discourse and research in this critical sector.

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 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.

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.

Forecasting is an esteemed open-access journal published by MDPI, dedicated to advancing the fields of Computational Theory and Mathematics, Computer Science Applications, Decision Sciences, and Economics, since its inception in 2019. With its base in Switzerland, the journal aims to provide a fundamental platform for researchers, professionals, and students aiming to share high-quality research on mathematical methods for forecasting and prediction model development. As of 2023, Forecasting holds an impressive Q1 ranking in Economics, Econometrics, and Finance, alongside Q2 rankings in Computational Theory and Mathematics, Computer Science Applications, and Decision Sciences, reflecting its rigorous peer-review process and scientific impact. Forecasting has carved a niche as a leading publication, inviting high-quality contributions that stimulate innovation in forecasting methodologies across various applications in decision-making and economic analysis. This impact is further underscored by its commitment to open access, ensuring that research is readily accessible to the global academic community.