PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES is a premier journal published by Cambridge University Press, dedicated to advancing the fields of statistics, probability, and their applications within engineering and informational sciences. With an ISSN of 0269-9648 and an E-ISSN of 1469-8951, this journal has established itself as a significant resource since its inception in 1987, continuing to publish impactful research through 2024. Ranking in the Q2 category for Industrial and Manufacturing Engineering and holding Q3 status in multiple relevant categories, it boasts a respectable impact in academia, reflected in its Scopus rankings across various disciplines. Although not an open-access journal, it remains essential for researchers interested in the integration of probabilistic methods in contemporary engineering challenges. By providing a platform for innovative studies and practical applications, PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES plays a crucial role in shaping future research and methodologies in these overlapping domains, fostering collaboration and knowledge exchange among researchers, professionals, and students alike.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, published by Springer, stands as a pivotal resource in the field of environmental science, bridging the essence of probabilistic analysis with pressing environmental challenges. With an impact factor that underscores its Q1 rankings in multiple key categories—including Environmental Engineering and Safety, Risk, Reliability, and Quality—the journal fosters a vibrant arena for researchers, professionals, and students to explore innovative methodologies and applications. This scholarly platform, with a convergence of articles from 1999 to 2024, emphasizes the critical assessment of risks and uncertainties in environmental contexts. Notably, it offers Open Access options, ensuring a wider dissemination of groundbreaking research that paves the way for sustainable practices. Situated in the dynamic landscape of environmental chemistry and water science, the journal not only reflects current trends but also sets the stage for future advancements in risk assessment and environmental strategies.

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.

Quality Technology and Quantitative Management is a prestigious academic journal published by Taylor & Francis Ltd, focusing on the intricate relationships between quality technology and quantitative methodologies in management practices. With a dedicated readership comprised of researchers, practitioners, and students, this journal provides critical insights into various disciplines, including Business and International Management, Industrial Relations, Information Systems and Management, and Management of Technology and Innovation. Achieving a commendable Q2 ranking across multiple categories in 2023 and notable Scopus rankings, the journal underscores its commitment to disseminating high-quality research that bridges theory and application to address contemporary challenges in the field. The journal is accessible via traditional subscription models, ensuring a wide distribution of groundbreaking studies conducted from 2011 to 2024. By connecting innovative methodologies with managerial practices, Quality Technology and Quantitative Management is essential for advancing knowledge and promoting excellence in management science.

Journal of Risk Model Validation, published by INCISIVE MEDIA, is a pivotal scholarly platform dedicated to the fields of Applied Mathematics, Economics, Econometrics, and Finance. With an ISSN of 1753-9579 and an E-ISSN of 1753-9587, this journal actively contributes to the advancement of knowledge through the rigorous validation of risk models, which is essential for informed decision-making in business and economic contexts. Although currently not an Open Access journal, it serves a vital role in the academic community, evidenced by its categorization in the Q4 and Q3 quartiles across various relevant fields. As of 2023, it holds commendable Scopus rankings, reflecting its relevance and engagement within the global academic discourse. The journal encourages submissions from a wide array of researchers, professionals, and students until 2024, fostering a comprehensive exploration of risk model methodologies and their practical applications. Emphasizing both theoretical frameworks and empirical studies, the Journal of Risk Model Validation is an essential resource for those dedicated to enhancing the reliability and effectiveness of risk assessment in contemporary finance and economics.

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.

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.

Japanese Journal of Statistics and Data Science, published by SPRINGERNATURE, is a leading academic journal dedicated to the advancement of statistical methodologies and data science applications, with a focus on fostering innovative research and discourse within the field. Since its inception in 2018, the journal has sought to bridge theory and practice, embracing emerging trends and interdisciplinary approaches that contribute to the ever-evolving landscape of statistics, probability, and computational theory. Hailing from Germany, the journal holds an impressive Q3 ranking in both Computational Theory and Mathematics and Statistics and Probability, reflecting its commitment to high-quality, impactful research. With an accessible ISSN of 2520-8756 and E-ISSN 2520-8764, the journal invites a global audience of researchers, professionals, and students to explore its rich array of articles and findings, all aimed at furthering knowledge and application in the realm of data science.

The International Journal of Business Analytics, published by IGI Global, is a distinguished platform dedicated to advancing the field of business analytics through innovative research and comprehensive studies. With an ISSN of 2334-4547 and an E-ISSN of 2334-4555, this journal has contributed significantly to the academic dialogue since its inception in 2014 and will continue to do so until 2024. Although currently classified in the Q4 quartile for both Business and International Management and Strategy and Management, the journal's focus on bridging theoretical frameworks with practical applications makes it a vital resource for researchers, professionals, and students alike. The journal encourages submissions that delve into data analysis methodologies, optimization techniques, and case studies that highlight the transformative power of analytics in modern business practices. Despite not being an open-access publication, the journal continues to be an invaluable asset for those seeking to enhance their understanding of business analytics in today’s data-driven landscape.

Advances in Operations Research, published by HINDAWI LTD, is a prominent peer-reviewed journal dedicated to the field of operations research, with a particular emphasis on innovative methodologies and applications that drive efficiency and performance across various industries. Established as an Open Access journal since 2009, it aims to provide unrestricted dissemination of research findings, thereby fostering accessibility and collaboration within the academic community. With an ISSN of 1687-9147 and E-ISSN of 1687-9155, the journal covers a broad spectrum of topics relevant to management science and operations research, and has been recognized for its contributions with a Q3 quartile ranking in its category for 2023. As of now, the journal is indexed in Scopus, ranking #131 out of 207 in the decision sciences category, placing it in the 36th percentile. The journal's commitment to advancing knowledge in operations research makes it an invaluable resource for researchers, professionals, and students seeking to explore cutting-edge theories and practices. For further insights and to access the latest research articles, please visit the journal’s website.