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.

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering, published by the American Society of Civil Engineers (ASCE), is a leading journal dedicated to advancing the understanding and application of risk and uncertainty in civil engineering systems. With an ISSN of 2376-7642, this journal has been a pivotal platform for researchers and practitioners since its inception in 2015, converging its rigorous exploration through to 2024. It holds a commendable position in the academic community, securing a Q2 rating in categories such as Building and Construction, Civil and Structural Engineering, and Safety, Risk, Reliability and Quality as of 2023. The journal aims to disseminate innovative research that tackles the critical challenges posed by uncertainty in engineering systems, thus promoting safety, sustainability, and reliability in infrastructure. With impressive Scopus rankings, including a 76th percentile in Building and Construction, it continues to attract high-quality contributions from scholars worldwide. Emphasizing open dialogue, the journal does not currently adopt an open access model but remains committed to providing essential insights for the enhancement of civil engineering practices. Researchers, professionals, and students alike will find invaluable resources to enhance their knowledge and practice in this dynamic field.

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.

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.

Probability Uncertainty and Quantitative Risk, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been contributing to the academic community since its inception in 2016. With a focus on the crucial interplay between probability, uncertainty, and quantitative risk assessment, this journal serves as a vital platform for researchers, practitioners, and students engaged in the fields of Applied Mathematics and Statistics. The journal's ranking in the Q2 category for both Applied Mathematics and Statistics and Probability reflects its growing influence and relevance, while its diverse scope encourages interdisciplinary studies. As a part of the Scopus database and maintaining a consistent publication pace through 2024, Probability Uncertainty and Quantitative Risk is essential for anyone looking to remain at the forefront of research in risk analysis and uncertainty modeling. Its commitment to open access since 2016 further enhances accessibility to cutting-edge findings, making it an indispensable resource for academics and industry professionals alike.

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.

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.

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.

Stochastics: An International Journal of Probability and Stochastic Processes, published by Taylor & Francis Ltd, is a pivotal platform for the dissemination of innovative research in the realms of probability and stochastic processes. Since its inception in 1975, the journal has evolved to encapsulate a rich array of methodologies and applications, contributing significantly to the fields of modeling, simulation, and statistical analysis. With a current impact factor ranking in the Q3 category for both Modeling and Simulation and Statistics and Probability, it positions itself as a valuable resource for professionals, researchers, and students alike. The journal’s coverage spans a unique historical arc from 1975, and it continues to push boundaries up to 2024, ensuring the latest trends and discoveries are accessible to an engaged audience. Though not Open Access, the journal’s scholarly contributions are crucial for advancing understanding and innovation in stochastic modeling, making it an essential read for those seeking to deepen their expertise in the field.

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.