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.

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

The Annals of Applied Statistics, published by the Institute of Mathematical Statistics (IMS), is a leading academic journal that serves as a crucial repository for groundbreaking research in the fields of statistics and probability applications. Since its inception in 2008 and continuing through 2024, this journal has established itself as an influential platform with a notable reputation, boasting a prestigious Q1 classification in 2023 across critical categories such as Modeling and Simulation and Statistics, Probability, and Uncertainty. With its rigorous peer-review process and significant Scopus rankings—including a position of #78 in Statistics and Probability—Annals of Applied Statistics aims to foster innovative statistical methods and their applications in a variety of disciplines. Researchers, professionals, and students interested in the latest advancements in analytical methods will find this journal essential for navigating the evolving landscape of applied statistics. The journal does not offer open access options, ensuring that published content reflects the highest academic standards.

Measurement-Interdisciplinary Research and Perspectives (ISSN: 1536-6367, E-ISSN: 1536-6359), published by Routledge Journals, Taylor & Francis Ltd, serves as a pivotal platform for the dissemination of innovative research across the disciplines of applied mathematics, education, and statistics. With an impressive convergence of research since its establishment in 2010, this journal not only displays a commendable impact factor but also maintains a Q3 ranking in three critical categories for 2023, highlighting its influence within the academic community. Located in the United Kingdom, the journal is dedicated to fostering interdisciplinary approaches that enhance measurement practices and contribute to educational advancements. Despite its current status not being open access, it remains accessible through various academic databases, making it a valuable resource for researchers, professionals, and students alike who seek to engage with cutting-edge methodologies and findings in measurement sciences.

EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, published by SAGE Publications Inc, is a premier journal serving as a vital resource for researchers and practitioners in the fields of educational and psychological assessment. With a rich history dating back to 1941, this esteemed journal encompasses a wide-ranging scope, exploring the intricacies of measurement techniques and their implications within applied mathematics, psychology, and education. Notably categorized in Q1 quartiles across various fields, including Applied Mathematics and Educational Psychology, the journal ranks impressively in Scopus, reflecting its high impact and relevance—ranked #82/635 in Applied Mathematics and #232/1543 in Education. The journal’s commitment to advancing knowledge in educational measurement equips scholars with essential insights and methodologies, making it an essential tool for advancing scholarly inquiry and practice. With no open access limitations, EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT is dedicated to disseminating quality research that influences educational practices and psychological evaluation, thus reinforcing its esteemed position within academia.

Sociological Methods & Research (ISSN: 0049-1241, E-ISSN: 1552-8294) is a premier academic journal published by SAGE Publications Inc. in the United States, dedicated to advancing the field of sociology through the dissemination of rigorous methodological strategies. With an impressive impact factor and recognized as a Q1 journal in both Sociology and Political Science, it holds a prestigious position in the Scopus rankings, placing 7th out of 1,466 in Sociology and Political Science and 5th out of 604 in miscellaneous social sciences. The journal, which has been in continuous publication since 1972 and will extend through 2024, serves as an essential resource for researchers, practitioners, and students aiming to explore innovative methodologies and empirical research in sociology. Although it is not an open-access journal, it remains highly influential, making significant contributions to sociological scholarship and shaping contemporary discourse in the social sciences.

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.

Journal of Multivariate Analysis, published by Elsevier Inc, stands as a pivotal resource in the disciplines of Numerical Analysis and Statistics. With a history of scholarly contribution since 1971, this journal has maintained a reputation for excellence, evidenced by its Q2 ranking in critical categories as of 2023. The journal covers a wide array of topics within multivariate statistical methods and their applications, making it an essential publication for researchers, professionals, and students seeking to deepen their understanding and application of sophisticated analytical techniques. Although not open-access, the journal provides valuable insights into the ever-evolving fields of statistics and probability, enabling readers to access and contribute to cutting-edge research up to the year 2024. By addressing significant theoretical and practical challenges in statistical analysis, Journal of Multivariate Analysis fosters a community of intellectual rigor and innovation.

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.

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.