ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering, published by the reputable ASME, is a leading platform dedicated to advancing knowledge in the field of mechanical engineering with a particular emphasis on risk assessment and uncertainty analysis. With an ISSN of 2332-9017 and an E-ISSN of 2332-9025, this journal has established itself as a significant contributor to ongoing research in safety, risk, and reliability, consistently ranking in the Q2 quartile for Mechanical Engineering as well as Safety Research categories. As evidenced by its impressive Scopus rankings—including a notable 80th percentile in Safety Research—this journal fosters high-quality research that informs engineering practices and enhances safety protocols. Operating under a traditional access model, it aims to provide researchers, professionals, and students with essential insights and methodologies to address contemporary challenges in engineering systems. Each contribution reflects an aim to bridge theory and application, thus making the journal an invaluable resource for stakeholders striving for excellence in mechanical engineering and safety management.

Journal of Reliability and Statistical Studies, published by RIVER PUBLISHERS, is a vital resource for researchers and professionals engaged in the fields of analysis, statistics, and numerical methods. With an ISSN of 0974-8024 and E-ISSN 2229-5666, this journal has carved a niche since its inception, converging from 2019 to 2024 to deliver cutting-edge research. The journal is recognized in the academic community, demonstrated by its rankings in Scopus: Mathematics (Analysis: Rank #108/193, Percentile 44; Statistics and Probability: Rank #170/278, Percentile 39; Numerical Analysis: Rank #58/88, Percentile 34). Despite being categorized as Q4 in its field for 2023, it aims to cultivate a robust platform for innovative studies that push the boundaries of reliability and statistical methodologies. Researchers will find value in its commitment to disseminating both theoretical and practical advancements, making it an essential journal for students and scholars striving for excellence in statistical analysis and reliability engineering.

JOURNAL OF QUALITY TECHNOLOGY, published by Taylor & Francis Inc, stands as a premier interdisciplinary platform dedicated to advancing the field of quality technology through rigorous scholarship and innovative research. With its ISSN 0022-4065 and E-ISSN 2575-6230, this esteemed journal has achieved a notable impact factor and is consistently ranked in the top quartiles across several categories such as Industrial and Manufacturing Engineering (Q1), Management Science and Operations Research (Q2), and Safety, Risk, Reliability and Quality (Q1), reflecting its significance in these critical areas. Spanning nearly five decades, from its inception in 1969 to the present day, the journal covers a wide array of topics crucial to quality management systems, risk assessment, and operational excellence. Researchers and practitioners alike benefit from its valuable insights and empirical studies, published from its home base in the United States at 530 Walnut Street, Suite 850, Philadelphia, PA 19106. While it is not available as open access, the journal remains a vital resource for those striving to enhance quality performance and foster innovation in their respective fields.

JOURNAL OF PROCESS CONTROL, published by Elsevier Science Ltd, is a pivotal resource for those engaged in the fields of process automation, control systems, and industrial engineering. With an ISSN of 0959-1524 and an E-ISSN of 1873-2771, this esteemed journal has been disseminating high-quality research since its inception in 1991, maintaining a convergence period up to 2024. Recognized in the 2023 category quartiles as a Q2 journal in Computer Science Applications and Control and Systems Engineering, and holding a prestigious Q1 ranking in Industrial and Manufacturing Engineering and Modeling and Simulation, it stands out for its contributions to theory and practice. The journal's access options provide easy engagement for researchers and practitioners alike. The impact factor emphasizes its significance, reflecting its reputation as a leading platform for innovative findings and methodologies across diverse disciplines, making it an essential tool for those advancing the frontiers of process control research.

Advances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.

JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES, published by the ASCE-AMERICAN SOCIETY OF CIVIL ENGINEERS, is a leading peer-reviewed journal dedicated to the field of civil engineering with a strong emphasis on the performance assessment and sustainability of constructed facilities. Established in 1987 and converging through 2024, this journal has garnered a solid reputation with an impressive Q2 quartile ranking across key areas including Building and Construction, Civil and Structural Engineering, and Safety, Risk, Reliability and Quality. The journal's Scopus rankings further underline its significance, being positioned within the top percentiles of these domains. As it aims to publish innovative research, case studies, and reviews, the journal serves as a vital resource for professionals and academics who are keen on advancing their understanding of the complexities associated with the performance and reliability of civil infrastructure. Researchers and practitioners interested in the latest advancements in construction performance can greatly benefit from the insights and findings published in this esteemed journal.

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.

The International Journal of Reliability Quality and Safety Engineering, published by World Scientific Publishing Co Pte Ltd, is a leading platform for disseminating cutting-edge research in the fields of reliability, quality, and safety engineering. With an impressive scope that spans across aerospace, electrical engineering, nuclear energy, and industrial manufacturing, this journal serves as a critical resource for researchers and professionals aiming to enhance system dependability and operational excellence. Indexed in Scopus, it holds a respectable Q3 ranking across various categories in 2023, reflecting its growing influence in the academic community. Although currently not open access, it provides ample opportunities for scholars to publish impactful studies from its extensive database, which has evolved since 1996. The journal's commitment to advancing knowledge in reliability and safety engineering makes it a pivotal resource for those dedicated to improving engineering practices and protocols worldwide.

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.

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.