Methods Data Analyses is a premier open-access journal published by GESIS Leibniz Institute for the Social Sciences, based in Germany. With its focus on advanced methodologies within various fields such as Applied Mathematics, Applied Psychology, Computer Science Applications, and Statistics, this journal plays a pivotal role in disseminating innovative research and practical applications that push the boundaries of quantitative analysis. As of 2023, it proudly holds Q1 status in both Applied Mathematics and Modeling and Simulation, reflecting its high impact and relevance in these disciplines. The journal is committed to promoting open access research since 2013, ensuring that critical methodologies and findings are available to a global audience. With Scopus rankings indicating robust standing across multiple categories, including Statistics and Decision Sciences, Methods Data Analyses stands as an essential resource for researchers, professionals, and students seeking to engage with cutting-edge approaches and frameworks that enhance analytical rigor in their work.

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.

Econometric Reviews, published by Taylor & Francis Inc, is a premier journal in the field of Economics and Econometrics, recognized for its significant contributions to the advancement of economic theory and practice since its inception. With its ISSN 0747-4938 and E-ISSN 1532-4168, the journal has maintained a consistent publication record from 1982 to 2024, offering a platform for groundbreaking research that shapes the landscape of quantitative economic analysis. With a proud place in the Q1 category for Economics and Econometrics as of 2023, it stands as a critical resource for scholars, practitioners, and students alike, actively engaging with themes such as econometric methods, theory, and policy implications. Although operating under a subscription model, the journal’s high impact factor reflects its esteem within the academic community, fostering a rich dialogue among researchers in this evolving discipline. The journal’s office is located at 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA, forging connections in one of the central hubs of economic research.

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.

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.

The British Journal of Mathematical & Statistical Psychology, published by Wiley, is a prestigious peer-reviewed journal that plays a pivotal role in advancing the interdisciplinary fields of psychology, mathematics, and statistics. With an ISSN of 0007-1102 and an E-ISSN of 2044-8317, it boasts a Category Quartile ranking of Q1 in diverse areas including Arts and Humanities, Medicine, Psychology, and Statistics and Probability as of 2023, signifying its considerable impact and relevance. This journal provides a platform for the dissemination of high-quality research and innovative methodological advancements that address complex psychological phenomena through rigorous statistical frameworks. It covers a breadth of topics from classic problems to modern data analytic techniques, appealing to researchers, professionals, and students alike. Founded in 1965, the journal continues to thrive global scholarly dialogue until 2024, fostering collaboration among disciplines and enhancing understanding of psychological data. Although it is not an open access journal, its rigorous selection process ensures that only the most significant and impactful research is published, further maintaining its esteemed position within the academic community.

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.

Methodology-European Journal of Research Methods for the Behavioral and Social Sciences is a premier, open access journal dedicated to advancing the field of research methods within the behavioral and social sciences. Published by PSYCHOPEN, this journal plays a vital role in disseminating innovative methodologies and rigorous research designs to foster scholarly communication among researchers, professionals, and students. With an impact factor reflecting its credibility and relevance—categorized within the Q2 in Psychology and Q1 in Social Sciences in 2023—this journal ensures that contemporary scientific practices are at the forefront of academic discourse. With its origins dating back to 2005, Methodology is committed to providing free and unfettered access to its contributions, encouraging wide-reaching application and replication of research findings. Located in Trier, Germany, the journal is a cornerstone for those aiming to enhance their research skills and appreciate the nuanced complexities involved in behavioral and social investigations.

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.