ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES is a prestigious journal published by the Institute of Mathematical Statistics (IMS), dedicated to advancing the field of probabilities and statistics. With a commendable ranking in the Q1 category in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty in 2023, this journal serves as a vital resource for cutting-edge research and applications in these domains. The journal has established itself as a hub for high-impact articles, evidenced by its placement within the 65th percentile in Statistics and Probability and 62nd percentile in Decision Sciences. Covering a broad scope from theoretical foundations to practical implications, it caters to the intellectual needs of researchers, professionals, and students alike. Although it does not offer Open Access options, the integrity and quality of the published works remain uncompromised, making it an essential reference point for emergent trends and rigorous studies in probability theory and statistical methodology. With contributions spanning from 1997 and continuing through to 2024, the journal's legacy and influence are firmly anchored in the academic community.

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.

Journal of the Indian Society for Probability and Statistics, published by SpringerNature in Germany, is a prominent platform dedicated to advancing the field of statistics and probability. With its E-ISSN of 2364-9569, the journal features rigorous research articles, reviews, and theoretical advancements aimed at promoting the application of statistical methodologies in diverse areas. As part of the academic community since 2016, it has maintained a commendable Q3 ranking in the Statistics and Probability category for 2023, indicating its growing influence and relevance. As the journal aims to foster collaborations among statisticians and probabilists, it serves as an invaluable resource for researchers, professionals, and students looking to deepen their understanding and share innovative ideas. While the journal operates under a subscription model, its commitment to open access publication contributes to the broader dissemination of knowledge in this vital field, further enhancing its importance and utility within the scientific landscape.

Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.

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.

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.

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.

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.

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.

PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES is a premier journal published by Cambridge University Press, dedicated to advancing the fields of statistics, probability, and their applications within engineering and informational sciences. With an ISSN of 0269-9648 and an E-ISSN of 1469-8951, this journal has established itself as a significant resource since its inception in 1987, continuing to publish impactful research through 2024. Ranking in the Q2 category for Industrial and Manufacturing Engineering and holding Q3 status in multiple relevant categories, it boasts a respectable impact in academia, reflected in its Scopus rankings across various disciplines. Although not an open-access journal, it remains essential for researchers interested in the integration of probabilistic methods in contemporary engineering challenges. By providing a platform for innovative studies and practical applications, PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES plays a crucial role in shaping future research and methodologies in these overlapping domains, fostering collaboration and knowledge exchange among researchers, professionals, and students alike.