Canadian Journal of Statistics - Revue Canadienne de Statistique is a prestigious publication in the field of statistics, managed by Wiley. Since its inception in 1973, this journal has served as an essential resource for researchers, practitioners, and students, offering insights into a diverse range of statistical methodologies and applications. With its impact reflected in its 2023 categorization as Q2 in Statistics and Probability and Q3 in Statistics, Probability and Uncertainty, the journal stands out among its peers, exemplifying rigorous standards in empirical research. The journal's ISSN is 0319-5724 and its E-ISSN is 1708-945X, providing a robust platform for the dissemination of knowledge in the field. While it does not offer open access, the journal remains highly regarded and well-cited, contributing significantly to the advancement of statistical theory and practice. As it continues to publish cutting-edge research through to 2024, the Canadian Journal of Statistics is a must-read for anyone seeking to stay informed on the latest trends and developments in statistics.

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.

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.

Teaching Statistics is a peer-reviewed journal published by Wiley, dedicated to the advancement of statistical education and pedagogical methodologies. With its ISSN 0141-982X and E-ISSN 1467-9639, this esteemed journal has been an integral resource since its inception in 1979, providing a platform for innovative research and practices aimed at enhancing teaching effectiveness in statistics across various educational levels. Housed in the United States, it maintains a significant global presence and engagement, evidenced by its Q3 quartile rankings in both the Education and Statistics and Probability categories as of 2023. Furthermore, it holds commendable Scopus rankings, reflecting its influence in the fields of Mathematics and Social Sciences. Although not an Open Access journal, it fosters a wealth of knowledge beneficial to researchers, educators, and students alike, striving to elevate the standards of statistics education through comprehensive discussions and analyses. Through its commitment to the dissemination of valuable insights and resources, Teaching Statistics continues to be a vital asset for academic and professional communities seeking to enhance statistical learning and teaching methodologies.

African Journal of Research in Mathematics Science and Technology Education is a distinguished academic journal, published by Routledge Journals, Taylor & Francis Ltd, dedicated to advancing knowledge in the fields of mathematics, science, and technology education within the African context. With an ISSN of 1811-7295 and an E-ISSN of 2469-7656, this journal has been a crucial platform for scholarly discourse since its inception in 1997, steadily gaining reputation and impact among researchers, educators, and policymakers. The journal features a rigorous peer-review process, ensuring that high-quality research garners visibility across various disciplines, as evidenced by its Quartile rankings in Computer Science Applications, Education, Engineering, Mathematics, and Physics and Astronomy. With its commitment to serving the educational community and fostering innovative practices, the African Journal of Research in Mathematics Science and Technology Education plays a pivotal role in shaping the future of STEM education in Africa and beyond.

STATISTICAL SCIENCE, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the fields of Statistics and Probability, commencing its journey in 1986 and continuing through 2024. With an impressive track record reflected in its Q1 quartile rankings in Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, it holds a distinguished position in the academic community. The journal is recognized for its rigorous peer-review process and for publishing high-quality research that significantly contributes to advancing statistical methodology and its applications across various domains. Researchers and professionals are encouraged to engage with its contents to stay abreast of the latest developments and methodologies in statistical science. Although it does not offer open access, the valuable insights provided within its pages are essential for any scholar dedicated to the pursue of statistical excellence. As you navigate the complexities of data analysis and interpretation, STATISTICAL SCIENCE is your go-to resource for groundbreaking research, innovative techniques, and comprehensive reviews.

RMS-Research in Mathematics & Statistics is a leading journal published by Taylor & Francis Ltd that focuses on advancing knowledge in the fields of mathematics and statistics. With an emphasis on both theoretical developments and practical applications, this journal aims to bridge the gap between academic research and real-world implementations, making it a vital resource for researchers, professionals, and students alike. As an Open Access publication, RMS ensures that cutting-edge research is freely available to a global audience, fostering collaboration and innovation in the mathematical and statistical communities. The journal encourages submissions that address significant challenges and explore new methodologies across various disciplines, emphasizing the importance of rigorous scholarship and impactful findings. With the increasing relevance of data analysis and mathematical modeling in today's world, RMS serves as an essential platform for disseminating high-quality research that can influence the future directions of these critical fields.

International Journal of Information and Learning Technology is a pivotal publication in the fields of computer science and education, published by the esteemed Emerald Group Publishing Ltd. With an ISSN of 2056-4880, this journal has positioned itself as a valuable resource, reflecting a commitment to high-quality research and discourse in information technology and learning methodologies. Recognized for its significant contributions, it holds a respectable Q2 ranking in both Computer Networks and Communications and Computer Science Applications, along with a prestigious Q1 ranking in Education for the year 2023. The journal spans an expansive converged period from 2015 to 2024, providing an extensive archive of innovative ideas and findings that are instrumental to researchers, educators, and IT professionals alike. Although currently not open access, the publication remains vital to the academic community, ensuring that cutting-edge research and discussions continue to inform and inspire advancements in the integration of technology within learning environments. From its base in Leeds, United Kingdom, the journal invites submissions that explore the nexus of technology and education, fostering a deeper understanding of how digital innovations can enhance teaching and learning experiences.

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.

INTERNATIONAL STATISTICAL REVIEW is a prestigious journal published by Wiley, recognized for its significant contributions to the field of statistics and probability. With an impact factor reflecting its high citation rate and ranking in the top quartile (Q1) of relevant categories, this journal is a vital resource for researchers, professionals, and students alike. Covering a broad range of topics within statistical theory and application, it aims to disseminate innovative research findings and methodological advancements that shape the discipline. The journal's extensive history, converging years from 1982 to 2024, establishes its longstanding commitment to fostering scholarly communication in statistics. While it operates under a subscription model, its rigorous peer-review process ensures that published articles are of the highest quality, providing readers with insightful, reliable, and impactful content. For those looking to stay at the forefront of statistical research, the INTERNATIONAL STATISTICAL REVIEW is an indispensable addition to their academic resources.