The Pakistan Journal of Statistics and Operation Research is an esteemed academic publication dedicated to the fields of statistics, operations research, and their applications. Published by University of Punjab, this journal features innovative research that contributes significantly to the advancement of knowledge in Management Science, Modeling and Simulation, and Statistics and Probability. With an impressive Scopus ranking and categorized in Q2 and Q3 quartiles, it actively disseminates high-quality findings in these critical areas of study, making it an essential resource for researchers, professionals, and students seeking to enhance their understanding and application of statistical methodologies and operational frameworks. Although it is primarily published in Pakistan, the journal’s influence is recognized internationally, encouraging a global perspective on complex statistical challenges. With its convergence years spanning from 2011 to 2024, readers can expect a continual flow of cutting-edge research and practical insights that address the evolving demands of the field.

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.

Statistics and Applications is an esteemed academic journal dedicated to disseminating innovative research findings and advancements within the field of statistics and its diverse applications. Published by SOC STATISTICS COMPUTER & APPLICATIONS, this journal operates under an open access model, ensuring that critical knowledge and research are freely available to researchers, professionals, and students worldwide. With an ISSN of 2454-7395, it serves as a key platform for scholars to share their insights on statistical methodologies, computational techniques, and novel applications across various disciplines. Although the journal’s impact factor is not currently listed, its commitment to rigorous peer review and high-quality publications positions it as a valuable resource in the continuously evolving domain of statistics. By fostering collaboration among researchers and encouraging the sharing of knowledge, Statistics and Applications contributes significantly to the advancement of statistical science and its applications in real-world problems.

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.

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.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS is a premier academic publication dedicated to advancing the fields of computational statistics and graphical data representation. Published by Taylor & Francis Inc, this journal stands out with its impressive Q1 rankings in Discrete Mathematics and Combinatorics, Statistics and Probability, and Statistics, Probability and Uncertainty, reflecting its high impact and relevance in contemporary research. Since its inception in 1992, the journal has been a vital resource for researchers, professionals, and students alike, with its rigorous peer-reviewed articles contributing significantly to the science of data analysis and visualization. With a Scopus ranking placing it within the top tiers of its category, the journal is committed to disseminating high-quality research that promotes innovation and methodological advancement. Note that the journal currently follows a traditional subscription model, ensuring focused and curated content for its readers. As it approaches the horizon of 2024, the JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS continues to foster scholarly discourse and discoveries, making it an essential platform for anyone involved in statistics and data science.

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.

Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.

JIRSS - Journal of the Iranian Statistical Society is a prominent academic journal dedicated to the field of statistics and probability, published by the esteemed Iranian Statistical Society. With its ISSN number 1726-4057 and E-ISSN 2538-189X, this journal serves as a vital platform for disseminating cutting-edge research and advancements in statistical methodology and its applications. Established in 2011, JIRSS has consistently contributed to the academic community, achieving a 2023 Scopus rank of #180 out of 278 in its category, placing it within the 35th percentile in the dynamic domain of Mathematics: Statistics and Probability. As an Open Access publication, it enhances accessibility for researchers, professionals, and students, facilitating a wider engagement with innovative statistical techniques and theories. The journal aims to foster collaboration and knowledge exchange among statisticians, ultimately enriching the field and its impact on various scientific disciplines.

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.