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.

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.

Journal of Applied Mathematics Statistics and Informatics, published by SCIENDO, is a premier Open Access journal dedicated to the dissemination of innovative research in the realms of applied mathematics, statistics, and informatics. Since its establishment, the journal has committed to providing a platform for researchers, practitioners, and academicians to share their findings and methodologies that advance these interconnected fields. With its ISSN 1336-9180 and E-ISSN 1339-0015, it serves as a critical resource for those engaged in quantitative analysis and computational solutions, supporting its audience with immediate access to groundbreaking works. The journal prioritizes high-quality peer-reviewed articles that explore a broad range of topics, from statistical modeling and computational algorithms to the application of mathematics in real-world scenarios. As a valuable asset for researchers and students alike, it fosters collaborative efforts and strengthens the global academic community by providing accessible knowledge, enhancing learning and professional practice in the competitive landscape of applied mathematics and information sciences.

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.

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.

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.

QUANTITATIVE FINANCE, published by Routledge Journals, Taylor & Francis Ltd, stands at the forefront of academic research in the dynamic fields of finance, economics, and econometrics. With a strong commitment to disseminating cutting-edge research, this esteemed journal, which has been published since 2001 and continues to thrive with an anticipated convergence until 2024, occupies a prestigious Q1 ranking in Economics, Econometrics, and Finance and a Q2 ranking in Finance as of 2023. It serves as an essential platform for interdisciplinary studies, aiming to bridge theoretical approaches and practical applications in quantitative methods. Researchers, professionals, and students are provided access to a wealth of high-quality articles that contribute to the ongoing discourse and advancements in these fields. As the journal continues to impact its community, QUANTITATIVE FINANCE remains an invaluable resource for those seeking to stay at the cutting edge of financial research and its applications globally.

MATHEMATICAL FINANCE is a prestigious journal published by Wiley, focusing on the interdisciplinary fields of finance, applied mathematics, accounting, and economics. With its ISSN 0960-1627 and E-ISSN 1467-9965, this journal has earned its place in the top tier of academic publications, reflected by its Q1 rankings across multiple categories in 2023, including Accounting, Applied Mathematics, Economics and Econometrics, Finance, and Social Sciences. MATHEMATICAL FINANCE, which commenced publishing in 1991, is recognized for its rigorous peer-review process and its significant contribution to the advancement of knowledge in quantitative finance methodologies and risk management practices. Although it does not currently offer open access, the journal remains an invaluable resource for researchers, professionals, and students seeking to stay abreast of the latest theoretical advancements and empirical studies in mathematical finance. Its impact factor and Scopus rankings further illustrate its high standing within the academic community, making it an essential platform for impactful research and scholarly discourse.

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

Journal of Computational Finance, published by INCISIVE MEDIA, stands at the forefront of interdisciplinary research, amalgamating the realms of finance, applied mathematics, and computer science. With its ISSN 1460-1559 and E-ISSN 1755-2850, this journal provides a vital platform for scholars and practitioners alike, aiming to advance methodologies and computational techniques that enhance financial decision-making processes. Although currently categorized in the Q3 quartile across various disciplines—including Applied Mathematics, Computer Science Applications, and Finance—its commitment to quality research is unwavering, as evidenced by its curated selection of innovative studies. The journal’s scope includes computational modeling, algorithmic trading, risk management, and quantitative finance solutions. Each volume seeks to not only foster academic discourse but also bridge theoretical findings with practical applications in the financial industry. Given its convergence from 2011 to 2024, the journal continues to evolve alongside the rapidly changing financial landscape, supporting researchers, students, and professionals in navigating the complexities of computational finance.