The Electronic Journal of Probability, published by the Institute of Mathematical Statistics (IMS), is a premier open access journal dedicated to the dissemination of innovative research in the field of probability theory. Since its inception in 1996, it has emerged as a leading platform for scholars, researchers, and practitioners to share their findings and explore new methodologies. With an impressive track record and a commitment to free accessibility, the journal covers a broad scope of topics within statistics and probability, validated by its prestigious rankings in the Q1 quartile for both Statistics and Probability. Its influence is further evidenced by its consistent presence in the academic community and its contribution to advancing understanding in probability and uncertainty. The journal's ongoing dedication to promoting open scholarship ensures that high-quality research remains accessible to all, fostering collaboration and innovation among professionals and students alike.

STATISTICAL SCIENCE, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the fields of Statistics and Probability, commencing its journey in 1986 and continuing through 2024. With an impressive track record reflected in its Q1 quartile rankings in Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, it holds a distinguished position in the academic community. The journal is recognized for its rigorous peer-review process and for publishing high-quality research that significantly contributes to advancing statistical methodology and its applications across various domains. Researchers and professionals are encouraged to engage with its contents to stay abreast of the latest developments and methodologies in statistical science. Although it does not offer open access, the valuable insights provided within its pages are essential for any scholar dedicated to the pursue of statistical excellence. As you navigate the complexities of data analysis and interpretation, STATISTICAL SCIENCE is your go-to resource for groundbreaking research, innovative techniques, and comprehensive reviews.

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.

STOCHASTIC MODELS, published by Taylor & Francis Inc, is a reputable journal dedicated to the field of applied mathematics, particularly focusing on the realms of modeling and simulation, as well as statistics and probability. With an ISSN of 1532-6349 and an E-ISSN of 1532-4214, the journal has made a notable impact since its inception in 2002 and is recognized for contributing valuable research until 2024. A Q3 ranking in 2023 within the categories of Applied Mathematics and Modeling & Simulation, alongside a Q4 ranking in Statistics and Probability, underscores its significant role in advancing scholarship in these areas, despite the competitive landscape. While not an Open Access journal, it offers an array of access options to cater to its diverse readership comprised of researchers, professionals, and students. Situated in the United States, STOCHASTIC MODELS serves as a critical platform for disseminating innovative ideas, methodologies, and applications that drive forward the understanding of complex stochastic phenomena.

The Brazilian Journal of Probability and Statistics, published by the Brazilian Statistical Association, stands as a pivotal platform for researchers and practitioners in the realms of probability and statistics. With an ISSN of 0103-0752, this esteemed journal has contributed significantly to the advancement of statistical theory and its applications since its inception. The journal is currently indexed in Scopus, holding a rank of #175 in the Statistics and Probability category and a third quartile (Q3) designation as of 2023, indicating its steady impact within the field. Covering a broad scope of topics, from theoretical advancements to practical applications, it invites submissions that enhance understanding and fosters discussion among academics and professionals alike. The journal is based in São Paulo, Brazil, and operates without open access, ensuring a quality review process that adheres to the highest scholarly standards. Researchers, professionals, and students interested in the latest findings and innovative methodologies in statistics are encouraged to engage with the Brazilian Journal of Probability and Statistics, a vital resource at the intersection of theory and practice.

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.

THEORY OF PROBABILITY AND ITS APPLICATIONS, published by SIAM Publications, is a crucial journal dedicated to advancing the field of probability and its extensive applications. With its ISSN 0040-585X and E-ISSN 1095-7219, this esteemed publication has been a vital resource for scholars and practitioners since its inception. Operating out of the United States, the journal has a commitment to supporting research that falls within the Q3 quartile in both Statistics and Probability, as well as in Statistics, Probability, and Uncertainty for 2023. Despite its current position in a competitive landscape, ranked #137 in Statistics, Probability and Uncertainty and #227 in Mathematics, this journal remains an essential platform for disseminating innovative ideas and breakthroughs in probability theory. Although it lacks an open-access model, its rigorous peer-reviewed articles offer invaluable insights to enhance both theoretical understanding and practical application. With a focus on fostering collaboration and inspiring future research, THEORY OF PROBABILITY AND ITS APPLICATIONS is indispensable for researchers, professionals, and students striving to delve deeper into the intricate world of probability.

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.

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.