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.

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.

Eksploatacja i Niezawodnosc-Maintenance and Reliability, published by the POLISH MAINTENANCE SOC, stands as a premier Open Access journal dedicated to the fields of industrial and manufacturing engineering as well as safety, risk, reliability, and quality. With its ISSN 1507-2711, the journal has been a pivotal resource since 2004, fostering knowledge dissemination and innovation within the engineering community. The journal boasts an impressive standing, reflected in its Q2 Quartile ranking in both relevant categories for 2023, and Scopus ranks indicating its significant impact in the domains it covers; specifically, it is positioned at the 50th rank in Safety, Risk, Reliability and Quality and 97th in Industrial and Manufacturing Engineering. Researchers and professionals exploring the intricacies and advancements in maintenance and reliability will find an array of pertinent studies, insights, and methodologies within its publications. Embracing an open access model, this journal not only enhances visibility and accessibility of research but also supports the vital exchange of ideas in the global engineering landscape.

Operational Research is a premier academic journal published by Springer Heidelberg, focusing on the intersection of advanced computational theory, management science, and operations research. With an ISSN of 1109-2858 and an E-ISSN of 1866-1505, this respected journal serves as a key platform for the dissemination of high-quality research that enhances the understanding and application of quantitative methods across various fields, including technology management, simulation modeling, and statistical analysis. With its impressive performance evidenced by a Q2 ranking in multiple categories such as Computational Theory and Mathematics and Management Science, Operational Research occupies a critical role in the knowledge landscape, reflecting its 88th percentile ranking in decision sciences and numerical analysis per Scopus metrics. While currently not open access, it continues to facilitate the advancement of its disciplines through rigorous peer-review, with a commitment to publishing relevant, impactful studies from 2009 through to 2024. Researchers, professionals, and students alike will find this journal an invaluable resource for staying abreast of significant advancements in operational research methodologies and applications.

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.

Management Systems in Production Engineering is a premier open-access journal published by SCIENDO that has been dedicated to advancing the field of industrial and manufacturing engineering since its inception in 2011. With a robust ISSN of 2299-0461 and E-ISSN of 2450-5781, this journal serves as a vital resource for researchers and professionals seeking to explore innovative solutions and best practices in production management. Based in Germany, and operating with a distinguished presence in Poland, this journal has quickly made a name for itself, currently ranking in the Q2 quartile for Industrial and Manufacturing Engineering and Q3 for Management Information Systems and Management of Technology and Innovation as of 2023. It holds impressive positions in Scopus rankings, showcasing its growing influence and relevance in the engineering and business sectors. Designed to facilitate the exchange of valuable knowledge and insights, Management Systems in Production Engineering invites contributions that reflect on contemporary challenges and advancements in production systems, thereby offering crucial perspectives for academia and industry alike, from 2018 through 2024.

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.

tm-Technisches Messen is a reputable academic journal published by WALTER DE GRUYTER GMBH, focusing on the field of engineering, specifically in Electrical and Electronic Engineering and Instrumentation. With a rich history dating back to 1931, this journal serves as a critical platform for disseminating research, innovations, and developments relevant to measurement and instrumentation technologies. Despite its current quartile rankings of Q3 in Electrical and Electronic Engineering and Q4 in Instrumentation for 2023, the journal continues to attract submissions from leading researchers, offering insights that drive advancements within these fields. Researchers and practitioners can access a wealth of knowledge through this publication, fostering collaboration and sparking new ideas. Located in Berlin, Germany, the journal operates without an open-access model, making it essential for universities and institutions to play an integral role in supporting their library access to this valuable resource. As the journal continues to evolve through 2024 and beyond, it remains a significant contributor to the global discourse in measurement technologies, making it a must-read for anyone involved in these dynamic areas of study.

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.

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.