Probability Uncertainty and Quantitative Risk, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been contributing to the academic community since its inception in 2016. With a focus on the crucial interplay between probability, uncertainty, and quantitative risk assessment, this journal serves as a vital platform for researchers, practitioners, and students engaged in the fields of Applied Mathematics and Statistics. The journal's ranking in the Q2 category for both Applied Mathematics and Statistics and Probability reflects its growing influence and relevance, while its diverse scope encourages interdisciplinary studies. As a part of the Scopus database and maintaining a consistent publication pace through 2024, Probability Uncertainty and Quantitative Risk is essential for anyone looking to remain at the forefront of research in risk analysis and uncertainty modeling. Its commitment to open access since 2016 further enhances accessibility to cutting-edge findings, making it an indispensable resource for academics and industry professionals alike.

The Journal of Theoretical Probability is a prominent academic journal dedicated to the dissemination of cutting-edge research in the fields of probability theory and its applications. Published by Springer/Plenum Publishers, this journal has established itself as a vital resource for researchers and professionals interested in theoretical advancements and practical implementations within the realm of mathematics, particularly in the categories of Statistics and Probability. With an impressive converged publication trajectory from 1988 to 2024, the journal holds a commendable Q2 quartile ranking across various disciplines including Mathematics and Statistics and Probability as indicated in the 2023 metrics. Although not Open Access, the journal continues to attract high-quality submissions that contribute significantly to the field, making it an essential platform for advancing theoretical understanding and fostering academic dialogue. Whether you are a seasoned researcher or a graduate student, the Journal of Theoretical Probability offers valuable insights and rigorous scholarship that can enhance your academic pursuits.

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.

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.

INFINITE DIMENSIONAL ANALYSIS QUANTUM PROBABILITY AND RELATED TOPICS, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a key academic journal dedicated to the exploration of advanced themes in applied mathematics, mathematical physics, and quantum probability. Since its inception in 1998, the journal has established itself as a critical resource for researchers and professionals in these interdisciplinary fields, currently standing in the third quartile according to the 2023 category rankings. Scholars can access a wealth of rigorous articles that delve into infinite dimensional analysis, providing valuable insights pertinent to statistical and nonlinear physics, and offering a platform for pioneering research. This journal not only bridges theoretical frameworks and practical applications but also nurtures a collaborative environment for emerging and established scholars. Through its commitment to advancing knowledge, INFINITE DIMENSIONAL ANALYSIS QUANTUM PROBABILITY AND RELATED TOPICS serves as an indispensable tool for anyone engaged in the forefront of quantum probability research.

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.

The JOURNAL OF THE EUROPEAN MATHEMATICAL SOCIETY, published by the EUROPEAN MATHEMATICAL SOCIETY (EMS), stands as a premier platform in the field of mathematics, known for its rigorous editorial standards and impactful contributions to both applied and theoretical aspects of the discipline. With a commendable Q1 ranking in both Applied Mathematics and Miscellaneous Mathematics categories, alongside a Scopus rank of 32 out of 399 in General Mathematics, this journal has established itself as a crucial resource for researchers and professionals. Since achieving Open Access status in 2021, it has expanded its reach, making cutting-edge research more accessible to a global audience. With a publication horizon extending from 2002 to 2024 and a dedicated focus on high-quality mathematical scholarship, the journal continues to foster innovation and collaboration within the mathematical community.

STOCHASTIC PROCESSES AND THEIR APPLICATIONS, published by Elsevier, is a leading journal in the realms of Applied Mathematics, Modeling and Simulation, and Statistics and Probability. Established in 1973 and continually evolving with the latest research trends, this journal has secured its place in the Q1 category across multiple disciplines, reflecting its influence and prestige in the academic community. With a Scopus Rank of #90 in Statistics and Probability and notable rankings in Applied Mathematics and Modeling and Simulation, it serves as a crucial platform for disseminating cutting-edge research findings and applications of stochastic processes. Although it operates under a traditional access model, its comprehensive scope encourages submissions from a diverse range of topics that push the boundaries of knowledge in probability theory and its practical applications. Researchers, professionals, and students are invited to contribute original research, reviews, and case studies that can propel the field into new territories, further solidifying the journal's role as an essential resource for advancing understanding in stochastic processes.

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.

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.