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.

Welcome to the Annals of GIS, a leading academic journal published by Taylor & Francis Ltd, dedicated to advancing the field of Geographic Information Science and its applications. With an ISSN of 1947-5683 and an E-ISSN of 1947-5691, this Open Access journal has been ensuring wide accessibility since 2019, thereby bolstering the dissemination of knowledge in areas such as remote sensing, spatial analysis, and geoinformatics. Hailing from the United Kingdom, the journal ranks impressively within its categories, achieving a Q2 status in Computer Science Applications and a prestigious Q1 ranking in Earth and Planetary Sciences for 2023, placing it in the top 10% among its peers. With a focus on innovative research spanning from 2009 to 2024, the Annals of GIS serves as a vital platform for researchers, professionals, and students alike, providing insights and fostering discussions that push the boundaries of geographic technologies and their real-world applications.

ENVIRONMENTAL AND ECOLOGICAL STATISTICS, published by SPRINGER, stands as a premier journal dedicated to advancing the fields of environmental science and statistical methodologies. With an ISSN of 1352-8505 and an E-ISSN of 1573-3009, this journal has continually provided a platform for innovative research and interdisciplinary studies since its inception in 1994. Operating from the Netherlands, it enjoys a significant impact within the academic community, reflected in its impressive Q2 rankings across various categories including Environmental Science and Statistics. The journal maintains a strong focus on the application of statistical techniques to ecological and environmental problems, fostering an environment for discourse that is both robust and insightful. Although it does not currently offer open access, the depth and quality of research published within its pages position it as a vital resource for researchers, professionals, and students alike, eager to understand and address the complexities of environmental data analysis up to the year 2024.

International Journal of Applied Geospatial Research is an esteemed publication dedicated to advancing the field of geospatial research. Published by IGI Global, this journal provides a platform for innovative studies from 2010 to 2024 that encourage multidisciplinary contributions across Earth and planetary sciences and geography. While currently not offering open access, the journal's focus on applied research ensures that it remains highly relevant to both academics and industry professionals alike. With an ISSN of 1947-9654 and an E-ISSN of 1947-9662, it has been indexed in various databases, reflecting its emerging significance with rankings such as Q4 in Earth and Planetary Sciences and Geography according to Scopus, placing it at the intersection of critical research and practical application. Researchers, professionals, and students can expect insightful articles that enhance understanding and drive innovation in geospatial applications essential for informed decision-making in a rapidly changing world.

ACM Transactions on Spatial Algorithms and Systems is a premier academic journal published by the Association for Computing Machinery, focusing on advancements and innovations in spatial algorithms and their implementations across various domains. With an ISSN of 2374-0353 and E-ISSN 2374-0361, this journal showcases cutting-edge research in areas such as Discrete Mathematics, Geometry, and Information Systems, and consistently ranks in the Q2 category across multiple relevant fields as per the 2023 metrics. The journal is particularly notable for its impactful contributions to computer science applications, modeling and simulation, and signal processing, as evidenced by its impressive Scopus rankings. While it does not operate on an open-access model, ACM Transactions prioritizes accessibility to the latest findings for researchers, professionals, and students eager to explore and engage with spatial algorithms. By publishing high-quality, peer-reviewed articles since its establishment in 2015, the journal plays a critical role in advancing knowledge and fostering innovation in spatial systems research, making it an essential resource for academics and practitioners looking to stay at the forefront of this dynamic field.

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.

The INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, published by TAYLOR & FRANCIS LTD, stands as a premier platform in the fields of geography, planning and development, and information systems. With an impressive impact factor and recognized as a Q1 journal in 2023 across multiple categories, this esteemed publication underscores its significant role in advancing knowledge and application in geographical information sciences. Since its inception in 1997, the journal has provided vital insights and research findings, appealing to a diverse audience of researchers, professionals, and students dedicated to exploring the complexities of spatial data and its implications. Notably, it boasts exceptional Scopus rankings, positioning it among the top journals in its fields. While the journal does not offer open access, it remains a crucial resource for those looking to deepen their understanding and engagement with contemporary geographic and information science issues.

STATISTICAL MODELLING, published by SAGE Publications Ltd in the United Kingdom, is a prominent peer-reviewed journal dedicated to the evolving domain of statistics and its application in various scientific fields. With the ISSN 1471-082X and E-ISSN 1477-0342, this journal serves as a vital platform for researchers and practitioners to disseminate innovative methodologies, theoretical advancements, and practical applications pertaining to statistical modelling. Covering research from 2001 to 2024, the journal consistently contributes to the discourse within the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty categories. Furthermore, it ranks in the 54th percentile for Mathematics - Statistics and Probability and in the 53rd percentile for Decision Sciences, reflecting its growing reputational value among academic peers. Although this journal does not include Open Access options, its rigorous selection process and scholarly contributions ensure that it remains an essential resource for statistical research. Researchers, professionals, and students alike will find STATISTICAL MODELLING to be an indispensable reference for advancing their understanding and application of statistical techniques.

Spatial Information Research, published by SPRINGER SINGAPORE PTE LTD, is a prominent journal committed to advancing the interdisciplinary field of spatial information science. With an ISSN of 2366-3286 and an E-ISSN of 2366-3294, this journal serves as a crucial platform for disseminating research findings from 2016 to 2024, focusing on applications in Artificial Intelligence, Computer Science Applications, and Geography, among others. Ranking in the Q2 and Q3 quartiles across various categories, it showcases impactful research that informs geographic planning, environmental sciences, and computational methodologies. The journal's rigorous peer-review process ensures high-quality contributions that offer insights for both academic scholars and industry professionals. While retaining exclusive access options, Spatial Information Research is a vital resource for researchers eager to explore the complexities of spatial data and its applications in real-world scenarios.

Spatial Demography is a vital academic journal published by Springer International Publishing AG, focusing on the intersection of spatial analysis and demographic research. With its ISSN 2364-2289 and E-ISSN 2164-7070, this journal aims to advance understanding of population dynamics through innovative methodologies and spatially explicit data, offering a platform for researchers, professionals, and students engaged in demography, geography, and urban studies. While it does not currently operate under an open access model, Spatial Demography maintains a rigorous peer-review process to ensure high-quality publications that contribute significantly to the field. Given the growing importance of spatial data in demographic research, the journal serves as an essential resource for those looking to explore how spatial attributes influence demographic processes and patterns worldwide. The official address of the publisher is Gewerbestrasse 11, Cham CH-6330, Switzerland.