RISK ANALYSIS is a premier journal published by Wiley, focusing on the critical intersection of safety, risk, reliability, and quality within the fields of engineering and physiology. With a strong standing reflected in its Q1 category ranking in Safety, Risk, Reliability and Quality and Q2 in Physiology (medical), this journal is a vital resource for researchers, professionals, and students eager to stay informed on the latest methodologies, theories, and applications surrounding risk assessment and management. Since its inception in 1981, RISK ANALYSIS has been instrumental in shaping the discourse in its fields, garnering a robust reputation verified by its high rankings on Scopus, where it is positioned in the 85th percentile in Safety and the 77th percentile in Medicine. Though it does not currently offer Open Access options, the journal remains essential for those committed to advancing their understanding of risks associated with complex systems. For more insights, RISK ANALYSIS is available to readers throughout its converged years extending to 2024, solidifying its role as a foundational journal for impactful research.

Computers & Industrial Engineering, published by PERGAMON-ELSEVIER SCIENCE LTD, is a premier journal dedicated to advancing the fields of computer science and industrial engineering. Since its inception in 1976, this journal has become a vital resource for researchers and professionals, with a remarkable impact factor and distinguished Q1 quartile rankings in both the Computer Science and Engineering categories, reflecting its significant influence and respect within the academic community. Featuring a comprehensive scope that encompasses innovative computational methods, system optimization, and industrial applications, it serves as a platform for high-quality research that explores the interplay between technology and industrial processes. Although it does not currently offer open access, the journal's robust indexing in Scopus—ranked #12 in General Engineering and #15 in General Computer Science—underscores its commitment to disseminating cutting-edge knowledge and fostering collaboration among scholars, practitioners, and students globally. With its convergence spanning until 2024, Computers & Industrial Engineering is positioned at the forefront of emerging trends, making it an essential reference point for anyone dedicated to the evolution of technology in industry.

SIAM Journal on Numerical Analysis, published by SIAM Publications, is a leading academic journal dedicated to the rigorous exploration of numerical methods and algorithms across applied and computational mathematics. Since its inception in 1969, this journal has played a pivotal role in advancing the field, achieving a distinguished impact factor that places it in the Q1 quartile for Applied Mathematics, Computational Mathematics, and Numerical Analysis as of 2023. With Scopus rankings reflecting its high influence (Rank #102 in Applied Mathematics and Rank #16 in Numerical Analysis), this journal serves as an essential resource for researchers, professionals, and students aiming to stay abreast of cutting-edge developments in numerical methods. The journal's comprehensive scope covers theoretical advancements, implemented algorithms, and applications, making it indispensable for those engaged in high-level quantitative research and practice. Readers can access a wealth of innovative studies and insights, fostering a deeper understanding of numerical analysis techniques and their practical applications.

The SIAM-ASA Journal on Uncertainty Quantification, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of uncertainty quantification across various disciplines, including applied mathematics, statistics, and simulation modeling. With an impressive impact factor that places it in the Q1 quartile in multiple categories such as Applied Mathematics and Statistics and Probability, this journal represents the pinnacle of research quality and relevance. Established in 2013, it has garnered a significant readership and citation rate, reaffirming its critical role in addressing complex uncertainty challenges in modern science and engineering. Although not an open access journal, it provides a platform for rigorous peer-reviewed articles that offer insightful methodologies and applications vital to both research and industry practices. Researchers, professionals, and students will find in its pages a wealth of knowledge that drives the future of quantitative analysis, modeling, and problem-solving in uncertain environments.

RELIABILITY ENGINEERING & SYSTEM SAFETY is a leading interdisciplinary journal published by Elsevier Sci Ltd, dedicated to advancing knowledge in the fields of applied mathematics, industrial and manufacturing engineering, and safety, risk, reliability, and quality. With a significant presence since its inception in 1983, this esteemed journal, identifiable by ISSN 0951-8320 and E-ISSN 1879-0836, holds an impressive impact factor and ranks in the top quartile (Q1) of its categories according to the most recent metrics. Specifically, it has achieved remarkable standings in Scopus, ranking #3 out of 207 in Safety, Risk, Reliability and Quality, marking it in the 98th percentile, and #21 out of 384 in Industrial and Manufacturing Engineering, at the 94th percentile. This distinction underscores the journal's vital role in shaping research and innovation in its fields. While it does not operate under an open access model, RELIABILITY ENGINEERING & SYSTEM SAFETY remains an essential resource for researchers, professionals, and students, aiming to publish high-quality articles that facilitate the understanding and application of reliability engineering and systemic safety within various industrial contexts. Stay ahead in cutting-edge research by engaging with the latest articles and findings from this influential journal.

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.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, published by Taylor & Francis Ltd, is a premier journal dedicated to advancing the fields of statistical computation, modeling, and simulation. With a notable impact factor and a ranking in the Q2 quartile across important categories such as Applied Mathematics and Statistics, this journal serves as a vital resource for researchers, practitioners, and students alike. Established in 1972, it has consistently provided cutting-edge research insights, fostering a deeper understanding of statistical methodologies and their practical applications. Although it operates under a subscription model, the journal's commitment to disseminating high-quality research is reflected in its rigorous peer-review process and a broad international readership. With its scope spanning the intersections of statistics, probability, and computational techniques, the journal is essential for anyone looking to stay at the forefront of statistical innovation and practice.

Quality Engineering, published by Taylor & Francis Inc, is a leading journal in the field of Industrial and Manufacturing Engineering and Safety, Risk, Reliability, and Quality. With a focus on the advancement of quality assurance and management practices, this journal has been a valuable resource since its inception, featuring research that spans from 1970 to the present day. The journal holds a commendable placement in the 2023 category quartiles, ranked Q2 in both relevant fields, highlighting its significance in contributing to innovative methodologies and solutions in quality engineering. Although currently not an open access publication, it continues to attract a wide array of contributions from researchers, professionals, and students dedicated to enhancing quality in engineering processes. With a Scopus rank reflecting its solid standing—75th percentile in Safety, Risk, Reliability and Quality and 62nd percentile in Industrial and Manufacturing Engineering—Quality Engineering remains an essential platform for disseminating knowledge that fosters excellence in the engineering domain.

The Journal of Statistics and Management Systems, published by TARU PUBLICATIONS, serves as a pivotal platform for researchers, professionals, and students in the field of statistics and management. With a focus on disseminating innovative research and methodologies that address complex statistical issues and their applications in management, this journal aims to bridge the gap between theoretical frameworks and practical implementations. Although currently categorized under traditional access, the journal maintains an impressive reputation for quality and integrity within its discipline. Located in New Delhi, India, it fosters a global discourse by featuring cutting-edge studies that contribute to both academic scholarship and corporate governance. As the demand for data-driven decision making continues to rise, the Journal of Statistics and Management Systems remains an invaluable resource, offering insights that are essential for steering effective management practices in various sectors.

TECHNOMETRICS, established in 1959 and published by Taylor & Francis Inc, serves as a premier journal in the fields of applied mathematics, modeling and simulation, and statistics and probability. With its ISSN number 0040-1706 and E-ISSN 1537-2723, the journal has successfully converged over its decades-long history and is recognized for its substantial contributions to the quantitative analysis and application of statistical methods. TECHNOMETRICS is proud to maintain a distinguished reputation, ranking in the Q1 category for 2023 across its relevant fields, and positioning itself within the top 86th percentile in Mathematics _ Statistics and Probability as per Scopus rankings. While this journal currently does not operate under an open access model, it remains a crucial resource for researchers, professionals, and graduate students seeking insights and advancements in the realm of statistical methodologies and applications. Its commitment to disseminating high-quality research ensures it stands as an invaluable platform for innovation and scholarly discourse within the statistical community, making it essential reading for anyone interested in the evolution of applied statistical techniques.