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.

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.

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

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 de l Ecole Polytechnique-Mathematiques, published by ECOLE POLYTECHNIQUE in France, stands out as a premier platform for disseminating cutting-edge research in the field of mathematics. With an impact factor reflective of its rigorous academic standards, the journal is categorized in the Q1 Quartile for Mathematics as of 2023, placing it among the top tier of scientific publications. Recognized for its strategic focus on various branches of mathematics, it holds a formidable position within Scopus, ranking 94th out of 399 in general mathematics. Since embracing the Open Access model in 2014, the journal has ensured that vital research findings are accessible to a global audience, thereby fostering collaboration and innovation. With convergence expected until 2024, the Journal de l Ecole Polytechnique-Mathematiques continues to be a significant contributor to the academic community, inspiring both seasoned researchers and emerging scholars from around the world.

Random Matrices-Theory and Applications is a premier academic journal published by World Scientific Publishing Co Pte Ltd, specializing in the intricate fields of algebra, number theory, discrete mathematics, and statistics. With its ISSN 2010-3263 and E-ISSN 2010-3271, the journal serves as a vital resource for researchers and professionals looking to explore the mathematical landscape of random matrices and their diverse applications across various disciplines. Since its inception in 2012, Random Matrices has achieved recognition in various quartiles, achieving Q2 standings in multiple categories including Algebra and Number Theory and Discrete Mathematics and Combinatorics, indicative of its influential research contributions and rigorous peer-review process. The journal is committed to disseminating high-quality research articles that drive innovation and facilitate knowledge-sharing within the global mathematics community. Scholars interested in advancing their understanding of statistical methodologies related to random matrices will find this journal an indispensable addition to their research toolkit.

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.

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.

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.

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.