The Journal of Business Analytics, published by Taylor & Francis Ltd, is an esteemed platform dedicated to advancing the field of business analytics through rigorous research and innovative methodologies. Since its inception in 2018, this journal has provided a vital resource for researchers, practitioners, and students interested in the intersection of data science, management, and decision-making processes. With an impact factor reflective of its commitment to high-quality research, the journal holds notable rankings across multiple disciplines, including Q2 in Industrial and Manufacturing Engineering and Management Information Systems, as well as Q3 in Artificial Intelligence and Management Science and Operations Research. The journal's broad scope encompasses pivotal themes such as predictive analytics, decision support systems, and statistical methodologies, making it an essential resource for a diverse audience. The Journal of Business Analytics continues to foster collaboration and knowledge exchange within the academic community, positioning itself as a cornerstone for those seeking to navigate the complex landscapes of business and technology.

RAIRO-Operations Research is a distinguished journal published by EDP Sciences S A, focusing on the intricate fields of operations research, management science, and computer science applications. Established in 1977, this French-based journal encompasses a rich legacy of contributing to theoretical advancements and practical applications that equip researchers, professionals, and students with the insights necessary to navigate complex decision-making environments. With a notable Scopus ranking in various categories, including a Q3 position in Computer Science Applications, Management Science and Operations Research, and Theoretical Computer Science, the journal aims to foster innovation and share impactful research findings. As an insightful platform, RAIRO-Operations Research is essential for those seeking to deepen their understanding and enhance their expertise in operational methodologies, while also offering a range of access options for its wide readership. Delve into the journal to explore transformative research that pushes the boundaries of operations research.

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.

Journal of Multiple-Valued Logic and Soft Computing, published by Old City Publishing Inc, is a dedicated forum for advancing the fields of logic and soft computing. Since its inception in 2003, this journal has positioned itself as a valuable resource for researchers, professionals, and students interested in the complex interplay between multiple-valued logic systems and computational methodologies. With a broader reach into theoretical computer science, the journal is categorized in the Q4 quartiles across key areas, showcasing its role in disseminating relevant research despite its current position. This peer-reviewed publication silos essential discussions and breakthroughs that serve as a foundation for ongoing innovation in logic and computing theories. Though not currently open access, the journal continues to attract critical contributions that underscore its commitment to advancing knowledge in mathematical logic and software development through its effective symposium-like format, promoting collaboration among various stakeholders in the scientific community.

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.

INDUSTRIAL MANAGEMENT & DATA SYSTEMS is a leading academic journal published by Emerald Group Publishing Ltd, focusing on the intersection of industrial management and data analytics. With a strong reputation in multiple fields—including Computer Science Applications, Industrial and Manufacturing Engineering, Industrial Relations, Management Information Systems, and Strategy and Management—the journal has attained an impressive Q1 status in 2023 across these categories, emphasizing its critical role in advancing knowledge within these domains. The journal's extensive history, dating back to 1980 and converging through 2024, reflects its commitment to disseminating cutting-edge research that empowers professionals and researchers alike. No Open Access option is available, but it remains an essential resource for those involved in industrial management and data systems, as evidenced by its strong rankings in Scopus. By publishing high-quality articles that address emerging challenges and innovations, INDUSTRIAL MANAGEMENT & DATA SYSTEMS continues to shape the future landscape of its field, making it a valuable asset for dedicated scholars and practitioners.

Operations Research and Decisions is a highly accessible, peer-reviewed journal published by Wroclaw University of Science and Technology, Faculty of Management. Established in Poland, this open access journal has been disseminating cutting-edge research since 2010 and focuses on the vital intersection of operations research and decision-making processes. With an ISSN of 2081-8858 and an E-ISSN of 2391-6060, it serves as a platform for both theoretical advancements and practical applications in various fields, including management science, modeling and simulation, and statistics. Although currently categorized in the Q4 quartile in multiple relevant subject areas in 2023, the journal is committed to promoting innovative research that addresses contemporary challenges in technology and decision sciences. Researchers, professionals, and students alike will find valuable insights within its pages as they contribute to the evolving landscape of operations research. The journal is available for all interested readers, ensuring that knowledge is freely shared and disseminated across the globe.

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, published by WORLD SCIENTIFIC PUBL CO PTE LTD, stands as a premier platform in the realm of computer science, focusing particularly on the intersection of information technology and decision sciences. Established in 2002, the journal has consistently published high-quality research, now recognized as a Q1 journal in Computer Science (miscellaneous) as of 2023, ranking 15th out of 133 in its category, which underscores its excellence and influence in the field. Although it does not currently offer Open Access options, the journal remains accessible to a broad audience of researchers, professionals, and students who seek to enhance their understanding of innovative decision-making methodologies powered by information technology. With an emphasis on interdisciplinary collaboration, this journal is dedicated to advancing theoretical and practical knowledge, making it an essential resource for anyone looking to stay at the forefront of technology-driven decision-making processes.

Operational Research is a premier academic journal published by Springer Heidelberg, focusing on the intersection of advanced computational theory, management science, and operations research. With an ISSN of 1109-2858 and an E-ISSN of 1866-1505, this respected journal serves as a key platform for the dissemination of high-quality research that enhances the understanding and application of quantitative methods across various fields, including technology management, simulation modeling, and statistical analysis. With its impressive performance evidenced by a Q2 ranking in multiple categories such as Computational Theory and Mathematics and Management Science, Operational Research occupies a critical role in the knowledge landscape, reflecting its 88th percentile ranking in decision sciences and numerical analysis per Scopus metrics. While currently not open access, it continues to facilitate the advancement of its disciplines through rigorous peer-review, with a commitment to publishing relevant, impactful studies from 2009 through to 2024. Researchers, professionals, and students alike will find this journal an invaluable resource for staying abreast of significant advancements in operational research methodologies and applications.

Fuzzy Optimization and Decision Making, published by Springer, is a prestigious academic journal that has made significant contributions to the fields of Artificial Intelligence, Logic, and Software. With an impressive impact factor and a consistent ranking in the top Q1 quartile across its categories, this journal stands at the forefront of research dissemination in its domain. Established in 2002 and continuing through 2024, the journal focuses on the theoretical and practical aspects of fuzzy optimization methods and their applications in decision-making scenarios. The journal is highly regarded for its rigorous peer-review process and aims to present innovative research findings that inspire advancements in optimization techniques using fuzzy logic. Aimed at researchers, professionals, and students alike, Fuzzy Optimization and Decision Making serves as an essential resource for those looking to stay at the cutting edge of technology and methodology in mathematics and computer science.