Methods in Ecology and Evolution, published by WILEY, is a leading journal in the fields of ecology, evolution, and environmental science, with an impact factor that reflects its high-quality research contributions. Since its inception in 2011, this journal has become a cornerstone for researchers and practitioners, offering a platform for innovative methodologies and transformative insights that advance our understanding of ecological and evolutionary processes. With a prestigious Q1 ranking in both Ecological Modeling and Ecology, Evolution, Behavior and Systematics, the journal stands out among its peers, being ranked #28 out of 721 in the Agricultural and Biological Sciences category and #4 out of 41 in Environmental Science. The journal's comprehensive scope encourages interdisciplinary collaboration, making it an essential resource for anyone working at the intersection of ecological research and data modeling. Although it does not offer open access, the wealth of knowledge within its pages is invaluable for developing effective conservation strategies and understanding complex biological systems.

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.

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.

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

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.

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.

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.

Communications for Statistical Applications and Methods is a vital academic journal dedicated to advancing the field of statistics, with a particular focus on practical applications and methodologies. Published by the Korean Statistical Society, this journal has become a significant resource for researchers, practitioners, and students engaged in statistical sciences and its diverse applications in various fields including finance and modeling. Operating without an Open Access format, the journal is accessible through institutional subscriptions, allowing a broad audience to benefit from its insights. The journal covers works from its inception in 2017 to 2024, and although it currently ranks in the Q4 and Q3 quartiles across various mathematical and statistical categories, its commitment to quality research makes it a noteworthy platform for emerging trends and innovations. The journal not only serves to disseminate knowledge but also fosters collaboration among statisticians, ensuring that crucial advancements in statistical applications are communicated effectively.

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.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, published by TAYLOR & FRANCIS INC, is a pivotal journal in the fields of statistics, modeling, and simulation, catering to an audience of researchers, professionals, and students. With an ISSN of 0361-0918 and an E-ISSN of 1532-4141, this esteemed journal has been disseminating knowledge since 1976, covering a wide range of innovative methodologies and applications in statistics. Ranked in the third quartile for both Modeling and Simulation, and Statistics and Probability, as per the 2023 Category Quartiles, this journal serves as a crucial platform for advancing academic discourse and practical applications in these areas. Though not open access, it houses a wealth of peer-reviewed articles that contribute to the advancement of statistical theory and computational techniques, while its Scopus ranking positions it among the significant publications in the relevant fields. For those looking to stay at the forefront of statistical science, this journal is an invaluable resource.