The Journal of Applied Mathematics and Computing, published by SPRINGER HEIDELBERG, is a premier open-access journal dedicated to the advancements and interdisciplinary applications of mathematical theory and computing techniques. Since its inception in 1997, this journal has become a vital resource for researchers and practitioners, contributing significantly to the fields of Applied Mathematics and Computational Mathematics, currently positioned in the Q2 category as per the 2023 metrics. With an impressive Scopus ranking of #130 out of 635 in Applied Mathematics and #48 out of 189 in Computational Mathematics, it reflects a robust academic influence and a dedication to high-quality research dissemination. The journal's accessibility as an open-access resource since 2002 ensures that its groundbreaking findings are available to a global audience, fostering collaboration and innovation in the mathematical sciences. Based in Heidelberg, Germany, the journal continues to invite contributions that push the boundaries of both theory and practical applications, making it an essential platform for scholars, professionals, and students alike.

Mathematics in Applied Sciences and Engineering is a pioneering Open Access journal published by WESTERN LIBRARIES in Canada, dedicated to advancing the field of applied mathematics and its integration into engineering practices. With an E-ISSN of 2563-1926, this journal has been actively disseminating critical research since its inception in 2020, and aims to foster innovation and collaboration among researchers, professionals, and students alike. The journal excels in covering important topics within applied mathematics, modeling, and simulation, despite its current standing in the Q4 quartile for these categories according to the 2023 rankings, indicating significant opportunities for growth and contribution in these fields. Positioned in a competitive academic landscape—ranked #437 out of 635 in Applied Mathematics and #253 out of 324 in Modeling and Simulation—this outlet serves as an accessible platform for scholarly exchange, ensuring that emerging ideas and methodologies reach a broad audience while maintaining a commitment to academic integrity and quality.

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.

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 APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.

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.

COMBINATORICS PROBABILITY & COMPUTING is a premier journal published by Cambridge University Press, focusing on the cutting-edge fields of combinatorics, probability, and their computational aspects. Established in 1992 and set to continue its impactful discourse through 2024, this journal holds a distinguished reputation, reflected in its Q1 ranking in applied mathematics, computational theory, and statistics, showcasing its pivotal role in advancing research in these areas. With an ISSN of 0963-5483 and an E-ISSN of 1469-2163, the journal welcomes high-quality papers that contribute to the theoretical foundations and practical applications of the disciplines. While it is not available as open access, its accessibility through institutional subscriptions ensures wide readership within academia. The journal is a vital resource for researchers, professionals, and students alike, providing a platform for innovative ideas and pioneering research that shapes the future of mathematics and computer science.

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.

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.

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.