ADVANCES IN APPLIED PROBABILITY is a prestigious academic journal published by Cambridge University Press, focusing on the critical intersection of applied mathematics and probability theory. With an ISSN of 0001-8678 and an E-ISSN of 1475-6064, this journal emphasizes the development and application of probabilistic models in various sectors, enhancing the rigor and reliability of statistical methodologies. Established in 1969, the journal has evolved with converged years designated up to 2024, maintaining a steady release of cutting-edge research. As a Q2-ranked journal in both Applied Mathematics and Statistics and Probability categories as of 2023, it ranks favorably within the Scopus database, demonstrating its growth in influence and relevance within the academic community, with ranks of 141/278 and 353/635 in its respective fields. Although it does not offer open access, the journal remains a vital resource for researchers, professionals, and students seeking to advance their knowledge and understanding of probability applications across diverse disciplines.

Dependence Modeling is an innovative academic journal published by DE GRUYTER POLAND SP Z O O that focuses on the intricacies of dependence among random variables within the fields of Applied Mathematics, Modeling and Simulation, and Statistics and Probability. Since its inception in 2013, this Open Access journal has provided a platform for the dissemination of cutting-edge research, fostering collaboration and engagement among researchers, professionals, and students alike. With a commitment to high-quality scholarship, Dependence Modeling has made an impact within the academic community, as evidenced by its quartile rankings in 2023 and its presence in essential databases such as Scopus. The journal's unique scope emphasizes the importance of innovative methodologies and models that enhance our understanding of complex dependencies, making it an essential resource for those dedicated to advancing knowledge in these critical areas of study. With its physical base in Warsaw, Poland, the journal continues to make strides in global research dissemination through its accessible format.

BERNOULLI is a prestigious peer-reviewed journal dedicated to the field of Statistics and Probability, published by the renowned International Statistical Institute. Since its inception in 1995, this journal has established itself as a vital resource for researchers and professionals, achieving a remarkable impact factor and consistently ranking in the top quartile (Q1) of its category as of 2023. With a strong presence in the Scopus database, where it ranks #64 among 278 journals in Mathematics, it places in the 76th percentile, underscoring its significance in the academic landscape. Although not an open-access journal, its contributions are pivotal for advancing statistical theory and its applications across various disciplines. As Berounlli continues to evolve until 2024, it remains committed to disseminating high-quality research that fosters innovation and supports the global analytics community. The journal’s scope encompasses a wide range of topics in statistics, including but not limited to theoretical statistics, applied statistics, and data analysis, making it an essential read for anyone engaged in statistical research.

Extremes is a premier journal published by SPRINGER, focusing on the critical analysis and statistical understanding of extreme phenomena in various fields, including economics, engineering, and statistics. With an ISSN of 1386-1999 and E-ISSN of 1572-915X, this journal has established itself as a leading platform for innovative research since its inception in 2004. Currently classified in the 2023 Category Quartiles as Q1 in Economics, Econometrics and Finance (miscellaneous) and Q2 in both Engineering (miscellaneous) and Statistics and Probability, Extremes highlights the importance of understanding extreme values and their implications for decision-making across a multitude of applications. Although the journal operates on a subscription basis, it offers a wealth of accessible research to enhance the knowledge base of researchers and professionals alike. With a focus on fostering interdisciplinary collaboration and promoting advances in methodologies, Extremes is dedicated to advancing the field and remains an essential resource for anyone involved in the rigorous study of extremes.

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.

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.

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.

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.

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.