Theory of Probability and Mathematical Statistics, published by the Tarás Shevchenko National University of Kyiv, Faculty of Mechanics and Mathematics, serves as a vital resource for academics and practitioners in the field of statistics and probability. With an ISSN of 0094-9000 and E-ISSN 1547-7363, this journal aims to advance theoretical insights and practical applications related to probability theory and statistical methods. Operating from the heart of Ukraine, this journal has been influential since its inception in 2004 and continues to contribute to the academic community as it converges through a significant period until 2024. Despite currently not offering Open Access options, it maintains a respectable Q3 classification in both Statistics and Probability, highlighting its stability within the scholarly landscape. The journal's Scopus rankings further emphasize its specialization, ranking #121 in Statistics, Probability, and Uncertainty, and #203 in Mathematics, underscoring its importance for researchers, students, and professionals seeking to enrich their understanding and foster innovation in these disciplines.

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.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

STATISTICS & PROBABILITY LETTERS is a distinguished journal published by ELSEVIER, dedicated to advancing the field of statistics and probability. With an ISSN of 0167-7152 and an E-ISSN of 1879-2103, this journal is an essential platform for research, featuring cutting-edge studies and significant findings in the realms of statistical theory and applied probability. The journal operates under a notable Q3 ranking in both the categories of Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, underscoring its relevance in these fields. Researchers, professionals, and students alike benefit from its rigorous peer-review process and its commitment to published integrity, fostering innovative insights from 1982 through its anticipated convergence in 2025. While it does not offer open access, the journal’s widely recognized impact within the academic community makes it a valuable resource for anyone seeking to deepen their understanding of statistical methodologies and probabilistic models.

Markov Processes and Related Fields, published by POLYMAT, is a pivotal journal in the field of applied mathematics and statistics, aimed at researchers, practitioners, and students who seek to deepen their understanding of complex stochastic processes and their applications. With an ISSN of 1024-2953 and a convergence of scholarly work from 2012 to 2023, this journal not only contributes to the discourse around Markov processes but also positions itself within the competitive landscape of academic publishing, as evidenced by its Q4 ranking in both Applied Mathematics and Statistics and Probability for 2023. While the journal is not open access, it provides critical insights and developments that are essential for driving forward research in these fields. The journal's contributions enhance knowledge transfer among academia and industry, fostering innovation and application in various sectors. As researchers and students engage with its content, they will find a wealth of information that challenges conventional thinking and encourages novel approaches to statistical modeling and analysis.

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.

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.

Probability and Mathematical Statistics-Poland is a pivotal journal in the field of applied and theoretical statistics, published by WYDAWNICTWO UNIWERSYTETU WROCLAWSKIEGO. With an ISSN of 0208-4147, it serves as a platform for disseminating significant research grounded in mathematical statistics, probabilistic models, and their applications across various scientific disciplines. Although the journal resides in the Q4 category for Statistics and Probability, it plays an essential role for researchers seeking a peer-reviewed avenue for their work, particularly those affiliated with academic institutions in Poland and beyond. The journal has been in continuous publication from 2011 to 2023, reflecting its commitment to advancing knowledge in the field despite its current ranking at the 12th percentile in the Scopus listings. As an invaluable resource for researchers, professionals, and students alike, Probability and Mathematical Statistics-Poland encourages contributions that explore innovative statistical methodologies and their practical implications, fostering a deeper understanding of probability theory and its relevance in contemporary research.

Probability Surveys is a premier open-access journal dedicated to the advancement of knowledge in the fields of Statistics and Probability. Published by PROBABILITY SURVEYS, this esteemed platform has been curating high-quality surveys and reviews since its inception in 2004. With an impressive impact factor and recognition as a Q1 journal in its category, it ranks an admirable #32 out of 278 in its Scopus category, placing it in the 88th percentile among its peers. As a scholar-focused resource, it strives to bridge the gap between mathematical theory and practical application, providing insights valuable to researchers, academicians, and industry professionals alike. Located in the United States with contributions from esteemed names in the field, Probability Surveys supports enhanced accessibility to important research through its open-access model, ensuring that cutting-edge findings are available to a broad audience. Whether you are a seasoned researcher or a student embarking on your journey in statistical disciplines, this journal serves as an indispensable reference point on the state-of-the-art developments in probability.

ALEA - Latin American Journal of Probability and Mathematical Statistics is a pivotal publication in the field of statistical theory and probabilistic modeling, published by the renowned Instituto de Matemática Pura e Aplicada (IMPA) in Brazil. Since its inception in 2011, this journal has steadily established itself as a key resource for researchers and academics, currently ranked in the Q2 category for Statistics and Probability as of 2023. With an H-index reflecting the sustained influence of its published research, ALEA serves not only as a platform for innovative studies but also as a vital conduit for the dissemination of cutting-edge statistical methodologies across the Latin American region and beyond. The journal is committed to maintaining high scholarly standards, encouraging open discussions on theoretical and applied aspects of probability and statistics. Access options include subscription-based access, ensuring a wide reach for its scholarly content. Whether you are a seasoned professional or a student embarking on your research journey, ALEA offers invaluable insights that contribute to the advancement of knowledge in the ever-evolving realm of mathematical statistics.