METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

Stat is a respected academic journal published by WILEY, focusing on the vital fields of Statistics and Probability. Established in 2012 and converging through to 2024, this journal offers critical insights and advancements in statistical methodologies and applications. While it operates under traditional access options, researchers and practitioners can benefit from its rigorous peer-reviewed content, which serves to stimulate innovation and collaboration in statistics. In the 2023 categorizations, Stat has been recognized in the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty, reflecting its growing influence and relevance in the field. Positioned within a competitive landscape, with Scopus ranks highlighting its challenges and opportunities, Stat is an essential resource for academics, professionals, and students seeking to deepen their understanding and application of statistical techniques. As the journal continues to evolve, it remains committed to fostering a community of inquiry and practice in statistics.

SCANDINAVIAN JOURNAL OF STATISTICS is a premier publication in the field of statistics, published by Wiley. With an impressive impact factor that reflects its influence, this journal is recognized for its rigorous peer-reviewed research articles that contribute to the advancement of statistical methods and their applications. As a leading resource, the journal spans a wide range of topics within Statistics and Probability, maintaining a strong scholarly presence with a Q1 rank in Statistics and Probability and a Q2 rank in Statistics, Probability and Uncertainty as per the 2023 category quartiles. The journal has been diligently publishing high-quality research since 1996, and now encompasses studies up to 2024, reinforcing its commitment to providing valuable insights for researchers, professionals, and students alike. While the journal does not offer open access, it remains an essential repository of knowledge in statistical sciences, fostering collaboration and innovation within the global academic community.

Journal of Probability and Statistics, published by HINDAWI LTD, is a distinguished open-access journal that has been serving the academic community since 2009. With an ISSN of 1687-952X and E-ISSN 1687-9538, this journal facilitates the dissemination of research covering various foundational and applied aspects of probability and statistics. As researchers, professionals, and students in the fields of mathematics and statistical sciences seek to advance their knowledge and understanding, this journal offers a unique platform for innovative studies and comprehensive reviews. Although the journal has been discontinued from Scopus from 2009 to 2020, it continues to play an essential role within its niche, despite its Scopus ranking of #181/227 (20th percentile) in Statistics and Probability. The open-access model ensures that valuable findings are readily accessible to a global audience, fostering collaboration and engagement across diverse disciplines. Join the multitude of contributors and readers who rely on the Journal of Probability and Statistics as a vital resource for research and education in this ever-evolving field.

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.

JOURNAL OF COMPLEXITY, published by Academic Press Inc. Elsevier Science, is a prestigious academic journal that has been at the forefront of advancements in the field of complexity science since its inception in 1985. With an ISSN of 0885-064X and an E-ISSN of 1090-2708, this journal is recognized for its impactful contributions across a range of mathematical disciplines, evidenced by its Q1 quartile rankings in Algebra and Number Theory, Applied Mathematics, Control and Optimization, Numerical Analysis, Statistics and Probability, and more. Positioned within the top echelons of Scopus rankings, it boasts notable standing—ranking #6 in Algebra and Number Theory and #25 in Numerical Analysis. Researchers, professionals, and students will find the journal's rigorously peer-reviewed articles invaluable for exploring the intricate relationships and phenomena that characterize complex systems. Although not an open-access journal, the insights offered are essential for expanding knowledge in mathematical frameworks and their applications in real-world problems. With a converged publication timeline extending to 2025, the journal is poised to continue shaping the discourse in complexity studies for years to come.

Computational and Mathematical Methods is a dynamic peer-reviewed journal published by Wiley-Hindawi, focusing on innovative research in the fields of computational mathematics, mechanics, and theory. Since its transition to an Open Access format in 2022, the journal has enhanced its accessibility to researchers and practitioners globally, providing a platform for the dissemination of high-quality studies that contribute to emerging developments in mathematical modeling and computational techniques. Based in the United Kingdom, this journal is committed to fostering collaboration amongst scholars, evidenced by its rankings within Scopus: Q3 in computational mathematics, computational mechanics, and computational theory and mathematics, reflecting its relevance and influence within these critical fields. With an emphasis on interdisciplinary studies, Computational and Mathematical Methods is an essential resource for researchers, professionals, and students seeking to expand their knowledge and apply cutting-edge methodologies to practical challenges.

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.