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.

CYBERNETICS AND SYSTEMS ANALYSIS is a distinguished journal published by Springer, focusing on innovative research and developments in the fields of cybernetics, systems analysis, and their applications within computer science. With an ISSN of 1060-0396 and E-ISSN of 1573-8337, this journal serves as a critical platform for disseminating groundbreaking ideas that drive advancements in computational theories and practices. Although it operates under a subscription model, the journal is highly regarded with a Q3 ranking in computer science, as of 2023, highlighting its relevance in the academic community. Covering a broad scope from the convergence years of 1991–2001 and 2003, and extending its reach from 2005 through 2024, CYBERNETICS AND SYSTEMS ANALYSIS plays a pivotal role in fostering dialogue and collaboration among researchers, professionals, and students, aiming to merge theory with practical applications in cybernetics and systems thinking.

INFORMS JOURNAL ON COMPUTING, published by INFORMS, stands as a quintessential platform for disseminating cutting-edge research and innovative methodologies in the realms of computing, information systems, and operations research. Since its inception in 1996, this journal has consistently maintained a prestigious Q1 quartile ranking across multiple categories, including Computer Science Applications, Information Systems, and Management Science and Operations Research, reflecting its significant impact and relevance in the academic community. The journal serves as a vital resource for researchers, professionals, and students alike, fostering interdisciplinary dialogue and the advancement of theoretical and practical contributions in computing. With no open access restrictions, it remains accessible to those engaged in the pursuit of knowledge and innovation in a rapidly evolving field. Housed in the United States, the journal continues to thrive, enriching the discourse in technology and its applications until 2024 and beyond.

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.

The Journal of Advanced Manufacturing Systems, published by World Scientific Publishing Co Pte Ltd, is a leading platform for sharing innovative research and advancements in the fields of manufacturing systems and engineering. With an ISSN of 0219-6867 and E-ISSN 1793-6896, this journal has made significant strides since its inception in 2004, converging knowledge through 2024 and beyond. Situated in Singapore, it occupies a critical role in disseminating high-quality research that intersects with Industrial and Manufacturing Engineering, Computer Science Applications, and Strategy and Management, evidenced by its respectable rankings in Scopus and its quartiles categorization as Q3 in pertinent fields. Although it does not offer Open Access options, the journal remains an essential resource for researchers, professionals, and students seeking to enrich their understanding of advanced manufacturing systems and contribute to the discipline. Readers can anticipate insightful articles that not only address contemporary challenges within the manufacturing sector but also propel innovative solutions forward.

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.

Forecasting is an esteemed open-access journal published by MDPI, dedicated to advancing the fields of Computational Theory and Mathematics, Computer Science Applications, Decision Sciences, and Economics, since its inception in 2019. With its base in Switzerland, the journal aims to provide a fundamental platform for researchers, professionals, and students aiming to share high-quality research on mathematical methods for forecasting and prediction model development. As of 2023, Forecasting holds an impressive Q1 ranking in Economics, Econometrics, and Finance, alongside Q2 rankings in Computational Theory and Mathematics, Computer Science Applications, and Decision Sciences, reflecting its rigorous peer-review process and scientific impact. Forecasting has carved a niche as a leading publication, inviting high-quality contributions that stimulate innovation in forecasting methodologies across various applications in decision-making and economic analysis. This impact is further underscored by its commitment to open access, ensuring that research is readily accessible to the global academic community.

The Journal of Official Statistics, published by SAGE Publications Inc, is a premier open-access journal that has been fostering advancements in the field of statistics since its inception. With its focus on disseminating high-quality research from 1986 to present, this journal provides a vital platform for statistical practices, innovations, and methodologies applicable to various domains, including governmental and organizational data analysis. Recognized as a Q2 journal in the Statistics and Probability category with a Scopus ranking of #143 out of 278, the Journal of Official Statistics boasts a significant impact in informing statisticians and practitioners alike. Located in Sweden, this journal has embraced open access since 2013, ensuring that its comprehensive and research-driven content is accessible to a global audience. Whether you are a researcher, professional, or student, this journal serves as an essential resource for staying informed about the latest trends and discussions in the official statistical community.

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

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.