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.

JOURNAL OF BUSINESS & ECONOMIC STATISTICS is a premier academic journal published by Taylor & Francis Inc, dedicated to disseminating high-quality research in the fields of business, economics, and statistics. With an impressive impact in the academic community, the journal maintains a distinguished Q1 ranking across various categories including Economics and Econometrics, Social Sciences (miscellaneous), and Statistics and Probability, showcasing its relevance and influence in contemporary research. Since its inception in 1983, the journal has served as a vital resource for researchers, professionals, and students seeking insights into quantitative methodologies and their application in the economic domain. While the journal is not currently open access, its rigorous peer-review process ensures that published articles are of the highest scholarly standards. Researchers and practitioners alike will find a rich repository of empirical and theoretical studies that foster knowledge advancement in the intersecting realms of business, economics, and statistical analysis.

Matematika, an esteemed journal published by PENERBIT UTM PRESS, serves as a pivotal platform for showcasing innovative research in the field of mathematics. With the ISSN 0127-8274, this publication is dedicated to advancing mathematical knowledge and its applications, making significant contributions to both theoretical and applied mathematics. Although currently not offering open access, the journal is recognized for its rigorous peer-review process, ensuring the quality and integrity of published works. With its base in Skudai, Johor, Malaysia, Matematika plays a crucial role in promoting mathematical literacy and research within the ASEAN region and beyond. It invites researchers, professionals, and students to explore and contribute to the vibrant discussions that shape the future of mathematics.

STATISTICAL MODELLING, published by SAGE Publications Ltd in the United Kingdom, is a prominent peer-reviewed journal dedicated to the evolving domain of statistics and its application in various scientific fields. With the ISSN 1471-082X and E-ISSN 1477-0342, this journal serves as a vital platform for researchers and practitioners to disseminate innovative methodologies, theoretical advancements, and practical applications pertaining to statistical modelling. Covering research from 2001 to 2024, the journal consistently contributes to the discourse within the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty categories. Furthermore, it ranks in the 54th percentile for Mathematics - Statistics and Probability and in the 53rd percentile for Decision Sciences, reflecting its growing reputational value among academic peers. Although this journal does not include Open Access options, its rigorous selection process and scholarly contributions ensure that it remains an essential resource for statistical research. Researchers, professionals, and students alike will find STATISTICAL MODELLING to be an indispensable reference for advancing their understanding and application of statistical techniques.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

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 APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.

Computational Economics is a premier journal dedicated to advancing the interdisciplinary field that bridges computational methods and economic theory. Published by Springer in the Netherlands, this journal serves as a critical platform for researchers and practitioners from economics, econometrics, and computer science, fostering innovation and cross-pollination of ideas from 1993 to 2024. With a notable impact factor in its categories—ranking Q2 in Economics, Econometrics, and Finance and Q3 in Computer Science Applications—Computational Economics consistently delivers rigorous peer-reviewed research that addresses contemporary challenges in economic modeling and computational techniques, making it an indispensable resource for the academic community. The journal provides a range of access options and is indexed in Scopus, where it holds a strong position in the 78th percentile of its category, ensuring high visibility and engagement for published works. Researchers, students, and professionals will find valuable insights across its diverse scope, facilitating the exploration of new methodologies that shape the future of economic analysis.

Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.

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.