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.

Japanese Journal of Statistics and Data Science, published by SPRINGERNATURE, is a leading academic journal dedicated to the advancement of statistical methodologies and data science applications, with a focus on fostering innovative research and discourse within the field. Since its inception in 2018, the journal has sought to bridge theory and practice, embracing emerging trends and interdisciplinary approaches that contribute to the ever-evolving landscape of statistics, probability, and computational theory. Hailing from Germany, the journal holds an impressive Q3 ranking in both Computational Theory and Mathematics and Statistics and Probability, reflecting its commitment to high-quality, impactful research. With an accessible ISSN of 2520-8756 and E-ISSN 2520-8764, the journal invites a global audience of researchers, professionals, and students to explore its rich array of articles and findings, all aimed at furthering knowledge and application in the realm of data science.

Revista Brasileira de Computação Aplicada is a distinguished peer-reviewed journal dedicated to disseminating innovative research and advancements in the field of applied computing. Published by UNIV PASSO FUNDO, this open-access journal has been serving the global academic community since 2009, ensuring that high-quality research is accessible to all. With its ISSN 2176-6649, the journal aims to foster collaboration and dialogue among researchers, professionals, and students, bridging the gap between theory and practice in computing. Positioned as an essential resource for those interested in the latest trends and developments in applied computational technologies, the journal strives to contribute significantly to the scholarly discourse and enhance knowledge sharing within this dynamic field. For researchers looking to publish their findings or professionals seeking to stay updated on cutting-edge research, the Revista Brasileira de Computação Aplicada serves as an invaluable platform that empowers the evolution of applied computing in Brazil and beyond.

The International Journal of Applied Mathematics & Statistics, published by the CENTRE ENVIRONMENT SOCIAL & ECONOMIC RESEARCH PUBL-CESER, is a vital platform for researchers and professionals dedicated to advancements in the field of applied mathematics and its statistical applications. With an ISSN of 0973-1377 and an E-ISSN of 0973-7545, this journal presents innovative research from 2003 to 2013, offering insights into various mathematical techniques and statistical methodologies fundamental for solving real-world problems. Although its coverage in Scopus has been discontinued, the journal remains relevant within its scholarly community, emphasizing the importance of collaborative research and interdisciplinary approaches for tackling complex societal challenges. Its commitment to promoting qualitative and quantitative research makes it an invaluable resource for students and professionals aiming to enrich their expertise and contribute to ongoing developments in applied mathematics and statistics.

Applied Computing and Informatics, published by Emerald Group Publishing Ltd, is a prominent open-access journal that has been serving the academic community since 2011. With a focus on advancing the fields of Computer Science Applications, Information Systems, and Software, this journal has established itself as a noteworthy publication, currently ranking in the Q3 quartile for each of its categories in 2023. The journal is particularly recognized for its commitment to disseminating high-quality research, as evidenced by its impressive Scopus rankings—placing it in the 92nd percentile for Computer Science Applications and the 91st percentile for both Information Systems and Software. Based in Saudi Arabia, it adopts a global perspective, inviting contributions from researchers worldwide. With its open-access policy, Applied Computing and Informatics ensures that cutting-edge research is accessible to a broad audience, fostering collaboration and innovation within the computing and informatics disciplines. This journal is an essential resource for academics, professionals, and students seeking to keep abreast of the latest trends and developments in their field.

Welcome to the Electronic Journal of Applied Statistical Analysis, a pivotal platform for researchers and practitioners in the domains of Statistics and Probability, as well as Modeling and Simulation. Published by Università del Salento in Italy, this journal has been dedicated to disseminating valuable insights and advancements in applied statistical methodology since its inception in 2008. With its ISSN of 2070-5948, the journal operates within an esteemed academic framework, contributing significantly to the field despite its current Q4 ranking in both Statistics and Probability and Modeling and Simulation categories as of 2023. As we continue to explore complex statistical models and simulation techniques, the journal encourages submissions that advance theoretical and practical understandings, inviting the global academic community to engage with transformative research endeavors. For those looking to stay informed and ahead in the dynamic world of applied statistics, the Electronic Journal of Applied Statistical Analysis is an essential resource.

Quantitative Methods for Psychology, with ISSN 1913-4126 and E-ISSN 2292-1354, is a premier open-access journal published by the University of Montreal, Department of Psychology. Since its inception in 2005, this journal has served as a vital resource for the dissemination of cutting-edge research and methodological advancements in psychological science. With a focus on quantitative approaches, it welcomes submissions that explore innovative statistical techniques, data analysis methodologies, and empirical studies that enhance understanding in psychology. The journal’s commitment to accessibility ensures that researchers, practitioners, and students alike can benefit from the wealth of knowledge it offers, fostering collaboration and advancing the field. As an integral platform for sharing significant findings and best practices, Quantitative Methods for Psychology is positioned to make substantial contributions to the landscape of psychological research.

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

Statistical Methods and Applications is a leading journal published by SPRINGER HEIDELBERG, dedicated to advancing the field of statistics and its applications in various domains. With an ISSN of 1618-2510 and an E-ISSN of 1613-981X, this journal serves as a vital resource for researchers and professionals looking to explore innovative statistical methodologies and their practical implications. The journal has demonstrated a notable influence within the scholarly community, ranked Q3 in both Statistics and Probability and Statistics, Probability and Uncertainty categories as of 2023. Covering a scope that spans from its inception in 1996 to the present, Statistical Methods and Applications provides robust platforms for empirical studies, theoretical advancements, and applied statistics. Although currently not open access, the journal is well-regarded for its rigorous peer-review process and commitment to high-quality research, making it an essential read for anyone dedicated to enhancing their statistical knowledge and expertise.

SIAM Journal on Scientific Computing is a premier journal published by SIAM Publications, focusing on the interdisciplinary domain of scientific computing. With a significant standing in the academic community, this journal boasts a 2023 Q1 ranking in both Applied Mathematics and Computational Mathematics, positioning it among the top-tier publications in these fields. The journal aims to disseminate high-quality research that applies computational methods to solve scientific and engineering problems, fostering advancements in numerical analysis, algorithms, and software development. Researchers and professionals can greatly benefit from the journal's rigorous peer-review process and its reputation for publishing cutting-edge studies. Though it is not an open-access journal, subscribing institutions and individual subscribers gain access to a wealth of knowledge tailored for those seeking to enhance their expertise in scientific computation. With its established history since 1996 and continuing to publish until 2024, the SIAM Journal on Scientific Computing remains an essential resource for students, researchers, and professionals dedicated to pushing the boundaries of this dynamic field.