Annals of the University of Craiova-Mathematics and Computer Science Series, published by UNIV CRAIOVA, is a distinguished academic journal that serves as a platform for advancing knowledge in the fields of mathematics and computer science. With an ISSN of 1223-6934 and an E-ISSN of 2246-9958, the journal has been disseminating high-quality research since its inception in 2011 and is targeted toward researchers, professionals, and students from these dynamic fields. It has been recognized in the Q3 category for both Computer Science Applications and Mathematics (miscellaneous) as of 2023, highlighting its emerging influence in the academic community, despite its current Scopus Rankings placing it at 42nd percentile for Mathematics and 14th percentile for Computer Science Applications. The journal's commitment to open access and its ongoing contributions until 2024 position it as a vital resource for fostering collaboration and innovation in Romania and beyond. Researchers interested in mathematics and computer science will find valuable insights and cutting-edge studies within its pages.

COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS is a prestigious journal published by PLEIADES PUBLISHING INC, dedicated to advancing the fields of computational mathematics and mathematical physics. With an ISSN of 0965-5425 and an E-ISSN of 1555-6662, the journal has established its importance within the academic community since its inception in 1985. It is classified in the third quartile (Q3) for computational mathematics in 2023, and while currently it does not offer open access options, it remains a valuable resource for researchers seeking to disseminate their findings and engage with cutting-edge developments in the field. The journal encompasses a broad spectrum of topics, including numerical analysis, applied mathematics, and the intersection of physics and computational techniques, highlighting its relevance in addressing complex problems in both theoretical and applied contexts. Scholars will find a platform that not only promotes rigorous research but also encourages collaboration and innovation within the scientific community.

Journal of Verification, Validation and Uncertainty Quantification, published by ASME, serves as an essential platform for researchers and professionals within the fields of computational theory, computer science applications, modeling, and statistics. Established in 2016, this journal has garnered a reputation for contributing high-quality scientific discourse and innovative methodologies to ensure the reliability and accuracy of engineering and computational models. Despite being placed in Q4 quartiles across various categories in 2023, the journal continues to attract attention for its focus on critical issues such as uncertainty quantification and model validation, making it a valuable resource for academia and industry alike. Although the journal does not currently offer open access, it provides a diverse range of articles that aim to advance understanding in these pivotal areas. With an aim toward bridging theoretical research and practical application, the Journal of Verification, Validation and Uncertainty Quantification supports the growing demand for robust analytical techniques amid the complexities of modern engineering and computational challenges.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, published by Taylor & Francis Ltd, is a premier journal dedicated to advancing the fields of statistical computation, modeling, and simulation. With a notable impact factor and a ranking in the Q2 quartile across important categories such as Applied Mathematics and Statistics, this journal serves as a vital resource for researchers, practitioners, and students alike. Established in 1972, it has consistently provided cutting-edge research insights, fostering a deeper understanding of statistical methodologies and their practical applications. Although it operates under a subscription model, the journal's commitment to disseminating high-quality research is reflected in its rigorous peer-review process and a broad international readership. With its scope spanning the intersections of statistics, probability, and computational techniques, the journal is essential for anyone looking to stay at the forefront of statistical innovation and practice.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

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.

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.

TECHNOMETRICS, established in 1959 and published by Taylor & Francis Inc, serves as a premier journal in the fields of applied mathematics, modeling and simulation, and statistics and probability. With its ISSN number 0040-1706 and E-ISSN 1537-2723, the journal has successfully converged over its decades-long history and is recognized for its substantial contributions to the quantitative analysis and application of statistical methods. TECHNOMETRICS is proud to maintain a distinguished reputation, ranking in the Q1 category for 2023 across its relevant fields, and positioning itself within the top 86th percentile in Mathematics _ Statistics and Probability as per Scopus rankings. While this journal currently does not operate under an open access model, it remains a crucial resource for researchers, professionals, and graduate students seeking insights and advancements in the realm of statistical methodologies and applications. Its commitment to disseminating high-quality research ensures it stands as an invaluable platform for innovation and scholarly discourse within the statistical community, making it essential reading for anyone interested in the evolution of applied statistical techniques.

Journal of Applied Mathematics & Informatics is a peer-reviewed academic journal published by the Korean Society of Computational & Applied Mathematics (KSCAM), focusing on the integration and application of mathematical theories and computational techniques across various domains. Established in 2019, this journal serves as a platform for researchers, professionals, and students to share innovative methodologies, practical applications, and theoretical advancements in fields like analysis, applied mathematics, and computational theory. As a Q4 ranked journal according to the 2023 category quartiles in analysis, applied mathematics, computational mathematics, and miscellaneous mathematics, it provides a valuable, albeit niche, contribution to the academic landscape. While the journal currently operates without open access options, it aims to disseminate quality research to foster collaboration and knowledge exchange within the mathematics and computer science communities. Researchers looking to explore emerging trends and methodologies in applied mathematics and informatics will find an essential resource in this journal, which is based in Daejeon, South Korea.

Wiley Interdisciplinary Reviews: Computational Statistics is a leading journal published by WILEY, renowned for its influential contributions to the field of statistics and its application in computational studies. With an impressive impact factor reflected in its 2023 categorization as Q1 in Statistics and Probability, this journal ranks among the top in its category, positioned at 20 out of 278 in Scopus, placing it in the 92nd percentile for its discipline. The journal spans from 2009 to 2024 and offers a rich repository of interdisciplinary insights that encompass both theoretical advancements and practical applications of computational statistics, making it an invaluable resource for researchers, professionals, and students alike. While it does not currently offer open access, the journal's commitment to high-quality, peer-reviewed content ensures that it remains a trusted source for cutting-edge developments and methodologies in the rapidly evolving realm of computational statistics.