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.

Stochastics: An International Journal of Probability and Stochastic Processes, published by Taylor & Francis Ltd, is a pivotal platform for the dissemination of innovative research in the realms of probability and stochastic processes. Since its inception in 1975, the journal has evolved to encapsulate a rich array of methodologies and applications, contributing significantly to the fields of modeling, simulation, and statistical analysis. With a current impact factor ranking in the Q3 category for both Modeling and Simulation and Statistics and Probability, it positions itself as a valuable resource for professionals, researchers, and students alike. The journal’s coverage spans a unique historical arc from 1975, and it continues to push boundaries up to 2024, ensuring the latest trends and discoveries are accessible to an engaged audience. Though not Open Access, the journal’s scholarly contributions are crucial for advancing understanding and innovation in stochastic modeling, making it an essential read for those seeking to deepen their expertise in the field.

ELECTRONIC COMMUNICATIONS IN PROBABILITY is a distinguished open-access journal published by the Institute of Mathematical Statistics (IMS) that has been contributing to the field of statistics and probability since its inception in 1996. With a commitment to disseminating high-quality research, this journal plays a crucial role in fostering advancements in the areas of statistical theory and probabilistic models. The journal's impact is reflected in its notable rankings, including a Q2 categorization in both Statistics and Probability and Statistics, Probability and Uncertainty for 2023, indicating its relevance and scholarly influence in the academic community. Having a consistent converged publication timeline from 1996 to 2024, it provides researchers, professionals, and students with a platform to share and access innovative studies without barriers. With an aim to enhance our understanding of statistical applications and methodologies, ELECTRONIC COMMUNICATIONS IN PROBABILITY serves as an essential resource for those engaged in statistical research and applications.

Lithuanian Mathematical Journal is a prominent academic publication that has been advancing the field of mathematics since its inception in 1973. Published by SPRINGER, this journal provides a platform for researchers, professionals, and students to disseminate their findings and engage with the latest developments in various branches of mathematics. With an ISSN of 0363-1672 and an E-ISSN of 1573-8825, it is accessible to a global audience, primarily serving as a hub for mathematical discourse and innovation. Despite its current categorization in Q4 within the miscellaneous mathematics category and holding a Scopus rank of #284 out of 399, the journal continuously aims to elevate its impact by contributing to significant mathematical research. The importance of this journal lies not only in its rigorous peer-review process but also in its commitment to fostering academic collaboration and knowledge exchange in a structured yet dynamic environment.

Statistica, an esteemed journal published by the Università degli Studi di Bologna, Dipartimento di Scienze Statistiche Paolo Fortunati, is a vital resource within the fields of statistical science and applied mathematics. Since its inception in 1969, this open-access journal has served as a platform for original research and comprehensive reviews, facilitating the dissemination of knowledge to a global audience. As of 2023, it is indexed in Scopus, holding a noteworthy position in the 43rd percentile in the realm of Decision Sciences and Statistics. Researchers and practitioners benefit from its focus on contemporary statistical methods, data analysis, and probability theory. With a commitment to fostering academic dialogue and collaboration, Statistica aims to highlight innovative findings and applications, ensuring that the community remains at the forefront of statistical advancements.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, published by SPRINGER HEIDELBERG, is a prestigious academic journal that has played a pivotal role in the field of statistical mathematics since its inception in 1949. With a focus on advancing research in statistics and probability, this journal is ranked in the Q2 quartile for 2023, indicating its significance and impact within the academic community. Researchers and professionals engaged in statistical theory and methodology will find the journal's comprehensive coverage of contemporary issues essential for furthering their work and understanding of the discipline. The journal is accessible in print and digital formats, facilitating wide dissemination of knowledge among its readership. With a history of rigorous peer review and a commitment to high-quality research, the ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS continues to be a vital resource for academics and practitioners alike.

Modern Stochastics-Theory and Applications is a dynamic, peer-reviewed academic journal dedicated to advancing the field of stochastics through rigorous research and innovative methodologies. Published by VTEX in Lithuania, the journal has embraced an Open Access model since 2014, ensuring that cutting-edge research is freely available to a global audience. With an ISSN of 2351-6054, it has steadily gained recognition in the academic community, achieving a 2023 ranking in the Q2 category for Modeling and Simulation and the Q3 categories in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty. Although still emerging, with noteworthy Scopus rankings highlighting its potential impact, the journal provides a vital platform for scholars to share their findings in stochastic modeling, simulation techniques, and statistical analysis. Researchers, professionals, and students alike are encouraged to contribute to and engage with this influential journal, solidifying its place in the academic landscape and fostering collaboration across disciplines.

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.

Random Matrices-Theory and Applications is a premier academic journal published by World Scientific Publishing Co Pte Ltd, specializing in the intricate fields of algebra, number theory, discrete mathematics, and statistics. With its ISSN 2010-3263 and E-ISSN 2010-3271, the journal serves as a vital resource for researchers and professionals looking to explore the mathematical landscape of random matrices and their diverse applications across various disciplines. Since its inception in 2012, Random Matrices has achieved recognition in various quartiles, achieving Q2 standings in multiple categories including Algebra and Number Theory and Discrete Mathematics and Combinatorics, indicative of its influential research contributions and rigorous peer-review process. The journal is committed to disseminating high-quality research articles that drive innovation and facilitate knowledge-sharing within the global mathematics community. Scholars interested in advancing their understanding of statistical methodologies related to random matrices will find this journal an indispensable addition to their research toolkit.

ESAIM-Probability and Statistics, published by EDP Sciences S A, is a prominent journal focused on advancing the field of probability and statistics. With an ISSN of 1292-8100 and E-ISSN 1262-3318, this journal has been a beacon of scholarly communication since its inception in 1997. Operating out of France, it offers a platform for researchers and professionals to share significant findings and foster collaboration within the statistical community. Designated as Q3 in the Statistics and Probability category for 2023, it plays a vital role in the dissemination of critical research, despite its recent Scopus ranking of 226 out of 278 indicative of its growing visibility and impact. Researchers, students, and professionals alike benefit from its rich pool of analytical insights and innovative methodologies, marking it as an essential resource for those immersed in statistical theory and applications. With a commitment to excellence in research, ESAIM-Probability and Statistics continues to contribute to the instructional and professional development of its readership.