JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, published by SPRINGER, serves as a vital platform for advancing knowledge in the quantitative study of agricultural, biological, and environmental phenomena. With an ISSN of 1085-7117 and an impressive e-ISSN of 1537-2693, this journal encompasses a broad scope of research that applies statistical methodologies to address complex challenges within the field. Operating out of the United States, the journal demonstrates its academic rigor and relevance, evidenced by its Q2 rankings across multiple categories in 2023, including Agricultural and Biological Sciences, Applied Mathematics, and Environmental Science. Researchers and practitioners in these fields will find significant value in the journal’s focus on integrating statistical techniques and innovative analyses, fostering interdisciplinary collaboration. Published continuously since 1996, it remains committed to publishing high-quality articles that not only contribute to theoretical advancements but also offer practical solutions, thereby enhancing the understanding of critical issues in agriculture, biology, and environmental science.

The International Journal of Ecological Economics & Statistics is a critical platform for research in the intersecting fields of ecological economics and statistical analysis. Published by the CENTRE ENVIRONMENT SOCIAL & ECONOMIC RESEARCH (PUBL-CESER), this journal aims to promote scholarly discussion and knowledge dissemination regarding sustainable economic practices and quantitative research methodologies. Despite the discontinuation of its coverage in Scopus, the journal continues to play a significant role in enhancing the understanding of the economic aspects of environmental issues within a global context. Researchers and professionals engaged in the fields of economics, decision sciences, and environmental studies are particularly invited to contribute and stay updated with the latest findings and theories. With its commitment to fostering academic discourse, the journal aspires to bridge the gap between environmental sustainability and economic growth, equipping readers with essential insights for future applications.

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.

JOURNAL OF APPLIED STATISTICS, published by Taylor & Francis Ltd, is a prestigious scholarly resource that has been at the forefront of advancing the field of statistics since its inception in 1970. With ISSN 0266-4763 and E-ISSN 1360-0532, this esteemed journal focuses on the application of statistical methods across various disciplines, emphasizing practical implementations that provide significant insights into real-world problems. As a Q2 journal in both Statistics and Probability and Statistics, Probability and Uncertainty, it holds remarkable standings in Scopus, with ranks in the 77th and 74th percentiles, respectively. Researchers and professionals will find a wealth of rigorous methodologies and innovative analyses within its pages, aiming to bridge the gap between theory and practice. Although it adopts a traditional subscription model, its extensive archive—from 1970 to the present—offers invaluable resources for statisticians and data analysts. The journal serves as an essential platform for disseminating impactful research, making it a vital tool for students, researchers, and practitioners committed to the advancement of statistical science.

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.

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.

ENVIRONMETRICS is a leading journal published by Wiley, dedicated to advancing the interdisciplinary field of environmental statistics and ecological modeling. With an ISSN of 1180-4009 and an E-ISSN of 1099-095X, this esteemed journal has been a pivotal resource for researchers and professionals since its inception in 1990, covering innovative methodologies and applications through its convergence years, which extend to 2024. Ranking in the Q2 quartile for both Ecological Modeling and Statistics and Probability in 2023, it stands among the top-tier publications in these fields. ENVIRONMETRICS boasts a robust Scopus ranking, placing it at #89 out of 278 journals in Mathematics - Statistics and Probability and at #22 out of 41 in Environmental Science - Ecological Modeling, illustrating its significance and impact within the academic community. Although it does not operate as an open-access journal, it remains a vital platform for disseminating high-quality research that addresses pressing environmental challenges, fostering collaborations among statisticians, ecologists, and policy-makers alike.

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

Statistics in Biosciences is a distinguished journal published by Springer, focusing on the innovative interplay between statistical methodologies and biosciences. Established in 2009, this journal aims to provide a platform for the dissemination of cutting-edge research in statistical applications within biochemistry, genetics, and molecular biology. With an impressive impact factor and a distinguished ranking in multiple categories, including Q2 in Biochemistry, Genetics and Molecular Biology (miscellaneous) and Q3 in Statistics and Probability, it serves as a crucial resource for researchers, professionals, and students seeking to deepen their understanding of statistical applications in biological contexts. The journal is accessible through traditional subscription models, ensuring that high-quality research remains available to a wide audience. Featuring contributions that advance statistical theory and application in the biosciences, Statistics in Biosciences is committed to fostering collaboration and innovation in a rapidly evolving scientific landscape.

Journal of Multivariate Analysis, published by Elsevier Inc, stands as a pivotal resource in the disciplines of Numerical Analysis and Statistics. With a history of scholarly contribution since 1971, this journal has maintained a reputation for excellence, evidenced by its Q2 ranking in critical categories as of 2023. The journal covers a wide array of topics within multivariate statistical methods and their applications, making it an essential publication for researchers, professionals, and students seeking to deepen their understanding and application of sophisticated analytical techniques. Although not open-access, the journal provides valuable insights into the ever-evolving fields of statistics and probability, enabling readers to access and contribute to cutting-edge research up to the year 2024. By addressing significant theoretical and practical challenges in statistical analysis, Journal of Multivariate Analysis fosters a community of intellectual rigor and innovation.