QUANTITATIVE FINANCE, published by Routledge Journals, Taylor & Francis Ltd, stands at the forefront of academic research in the dynamic fields of finance, economics, and econometrics. With a strong commitment to disseminating cutting-edge research, this esteemed journal, which has been published since 2001 and continues to thrive with an anticipated convergence until 2024, occupies a prestigious Q1 ranking in Economics, Econometrics, and Finance and a Q2 ranking in Finance as of 2023. It serves as an essential platform for interdisciplinary studies, aiming to bridge theoretical approaches and practical applications in quantitative methods. Researchers, professionals, and students are provided access to a wealth of high-quality articles that contribute to the ongoing discourse and advancements in these fields. As the journal continues to impact its community, QUANTITATIVE FINANCE remains an invaluable resource for those seeking to stay at the cutting edge of financial research and its applications globally.

Computation, published by MDPI, is an esteemed open-access journal that has been contributing to the fields of applied mathematics and computer science since its inception in 2013. With an E-ISSN of 2079-3197, this Swiss-based journal operates under a philosophy of free knowledge dissemination, allowing researchers, professionals, and students globally to access high-quality content without financial barriers. Recognized for its rigorous peer-review process, Computation is currently categorized in the Q2 and Q3 quartiles across significant domains, including Applied Mathematics (#181/635), Theoretical Computer Science (#52/130), and Modeling and Simulation (#138/324). As it converges towards 2024, the journal continues to attract innovative and impactful research aimed at advancing theoretical frameworks and practical applications within these disciplines. Joining the Computation community not only enriches individual research portfolios but also contributes to the broader conversation on computational methodologies and their applications in solving real-world problems.

Numerical Algebra Control and Optimization is a distinguished journal published by the American Institute of Mathematical Sciences (AIMS), dedicated to advancing the fields of algebra, applied mathematics, and optimization techniques. With an ISSN of 2155-3289 and E-ISSN 2155-3297, the journal provides a vital platform for researchers to disseminate significant findings and innovative methods in numerical analysis and its applications. Operating since 2011 and continuing to 2024, the journal holds a prominent position in the academic community, evidenced by its 2023 Quartile 3 ranking in categories such as Algebra and Number Theory, Applied Mathematics, and Control and Optimization. With robust Scopus rankings reflecting the journal's impact—93rd percentile in Algebra and Number Theory, 65th in Applied Mathematics, and 61st in Control and Optimization—it serves as a key resource for scholars striving to push the boundaries of mathematical research. While it remains a subscription-based journal, its commitment to scholarly excellence positions it as an essential reference for professionals, researchers, and students seeking to explore the intricate world of numerical algebra and optimization.

Journal of the Operations Research Society of China, published by SPRINGER HEIDELBERG, stands as a pivotal platform for advancing the fields of Operations Research, Applied Mathematics, and Decision Sciences. With an ISSN of 2194-668X and an E-ISSN of 2194-6698, this journal not only serves as a conduit for innovative research from 2013 to 2024 but also maintains a commendable Q2 ranking in Applied Mathematics and Mathematics (miscellaneous), reflecting its impact and relevance in the academic community. Situated in the United States, the journal fosters an interdisciplinary approach, inviting researchers, practitioners, and students to engage with cutting-edge findings and methodologies. Although currently not an Open Access journal, it offers a wealth of knowledge that empowers professionals in management science and operations research, as evidenced by its rankings—53rd out of 399 in general mathematics and 194th out of 635 in applied mathematics. This positioning highlights the journal's commitment to quality, contributing significantly to the body of knowledge in these dynamic fields.

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

Applied Stochastic Models in Business and Industry, published by Wiley, is a preeminent journal dedicated to advancing the field of stochastic modeling in various business and industry contexts. With an ISSN of 1524-1904 and an E-ISSN of 1526-4025, this journal serves as a vital platform for researchers and practitioners aiming to leverage stochastic techniques to address complex decision-making and operational challenges. The journal holds prestigious rankings, including Q2 in Business, Management and Accounting, and has converged years spanning from 1999 to 2024. It is distinguished by its wide scope, focusing on all aspects of modeling and simulation, as well as decision sciences and operations research. Although it does not operate as an open-access journal, its significant impact factor and Scopus rankings ensure that the valuable insights published within reach a broad audience. By fostering high-quality research and discourse, Applied Stochastic Models in Business and Industry plays a crucial role in driving innovation and excellence in its fields.

Operations Research Perspectives is a premier journal dedicated to advancing the field of operations research, published by Elsevier in the vibrant academic landscape of the Netherlands. Since its inception in 2014, this Open Access journal has been committed to disseminating high-quality research that addresses key challenges in optimization, management science, and decision-making processes across various industries. With an impressive impact factor reflected in its 2023 categorization—ranking Q1 in Control and Optimization and maintaining a solid presence in other domains such as Management Science and Operations Research and Statistics—it stands out as an essential resource for researchers and practitioners alike. Located at RADARWEG 29, 1043 NX AMSTERDAM, the journal encompasses a broad spectrum of topics, further highlighted by its Scopus Ranks which place it in the top percentiles across multiple categories. The objectives of *Operations Research Perspectives* involve fostering innovation and facilitating collaboration within the academic community, making it an invaluable tool for anyone looking to deepen their understanding of operational efficiencies and strategic advancements.

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

INFOR is a distinguished academic journal published by Taylor & Francis Inc that focuses on the convergence of computer science applications, information systems, management science, operations research, and signal processing. With an ISSN of 0315-5986 and an E-ISSN of 1916-0615, INFOR has been providing an essential platform for research and scholarship in these dynamic fields since its inception in 1971. The journal transitioned to an Open Access model in 2013, significantly enhancing the visibility and accessibility of its content to a global audience. Currently ranked in the Q3 quartile across multiple categories, including Computer Science Applications and Management Science, INFOR contributes valuable insights and innovative approaches to pressing challenges faced by professionals and researchers alike. Its integration into the Scopus indexing, with a rank of #119/207 in Decision Sciences, underscores its relevance and impact within the academic community. With a commitment to disseminating high-quality research, INFOR remains a vital resource for students, scholars, and practitioners seeking to advance their understanding and application of key concepts in their respective fields.

Computational Economics is a premier journal dedicated to advancing the interdisciplinary field that bridges computational methods and economic theory. Published by Springer in the Netherlands, this journal serves as a critical platform for researchers and practitioners from economics, econometrics, and computer science, fostering innovation and cross-pollination of ideas from 1993 to 2024. With a notable impact factor in its categories—ranking Q2 in Economics, Econometrics, and Finance and Q3 in Computer Science Applications—Computational Economics consistently delivers rigorous peer-reviewed research that addresses contemporary challenges in economic modeling and computational techniques, making it an indispensable resource for the academic community. The journal provides a range of access options and is indexed in Scopus, where it holds a strong position in the 78th percentile of its category, ensuring high visibility and engagement for published works. Researchers, students, and professionals will find valuable insights across its diverse scope, facilitating the exploration of new methodologies that shape the future of economic analysis.