COMPUTERS & STRUCTURES is a leading interdisciplinary journal published by Pergamon-Elsevier Science Ltd, focusing on the application of computer methods in the fields of civil and structural engineering, mechanical engineering, materials science, and modeling and simulation. With a prestigious history dating back to its inception in 1971, this journal is committed to advancing the knowledge and methodologies that integrate computational techniques with structural analysis and design. Recognized in 2023 with a Q1 ranking across several categories, including Civil and Structural Engineering and Computer Science Applications, COMPUTERS & STRUCTURES emphasizes the importance of innovative research that pushes the boundaries of traditional engineering practices. Although the journal does not currently offer open access, it remains an invaluable resource for researchers, professionals, and students seeking to disseminate and discuss groundbreaking findings that are shaping the future of engineering and materials science. The rigorous peer-review process ensures the publication of high-quality articles that contribute to the global discourse in these critical fields.

FINITE ELEMENTS IN ANALYSIS AND DESIGN, published by Elsevier, is a leading international journal dedicated to advancing the field of engineering analysis using finite element techniques. With a strong focus on theoretical and applied contributions, the journal spans a broad spectrum of subjects, including structural analysis, computational mechanics, and computer graphics applications, making it an essential resource for researchers, professionals, and students alike. As evidenced by its impressive Q1 ranking in multiple categories, including Analysis and Computer Graphics, and its Scopus rankings placing it in the top 10% across several fields, it serves as a vital platform for disseminating cutting-edge research and innovative applications within the field. The journal, with an ISSN of 0168-874X and an E-ISSN of 1872-6925, publishes articles that emphasize rigorous mathematical methodologies and computational advancements, ensuring high relevance for contemporary engineering challenges. With a history extending from 1985 to 2024, it continues to shape the discourse and progress within the finite element community.

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.

Foundations of Data Science, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering journal dedicated to advancing knowledge within the ever-evolving fields of data science, mathematics, and computational theory. With an impact factor reflecting its quality and relevance, this journal has established itself as a crucial resource for researchers and professionals alike, achieving remarkable rankings in the Scopus metrics across various mathematical categories, including 35th in Analysis and 70th in Statistics and Probability. The journal, which has been continuously growing in significance since its inception in 2019, focuses on both foundational theories and applied methodologies, providing open access to cutting-edge research from 2024 onward. Its commitment to fostering interdisciplinary collaboration ensures that it remains at the forefront of the data science realm, making it an essential platform for students, scholars, and practitioners aiming to deepen their understanding and contribute to the scientific community.

International Journal of Computational Fluid Dynamics, published by Taylor & Francis Ltd, is a prominent academic journal dedicated to advancing the field of computational fluid dynamics (CFD). Since its establishment in 1993, the journal has provided a platform for disseminating high-quality research, covering a wide spectrum of topics across various engineering disciplines, including Aerospace Engineering, Computational Mechanics, and Mechanical Engineering. With an impact factor placing it within Q2 categories across several relevant fields, the journal holds a significant position in the academic community, evidenced by its diverse Scopus rankings. Researchers and practitioners engage with state-of-the-art methodologies and innovative applications presented within its pages, contributing to both theoretical development and practical solutions in fluid dynamics. Though it currently operates under a subscription model, the journal remains a vital resource for those seeking to deepen their understanding of computational techniques and their application in industries spanning engineering and physics. This makes it an essential read for professionals, researchers, and students alike, striving for excellence in this dynamic and evolving area of study.

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 COMPUTATIONAL PHYSICS, an esteemed publication from ACADEMIC PRESS INC ELSEVIER SCIENCE, serves as a premier platform in the field of computational physics and its interdisciplinary applications. Since its inception in 1966, the journal has provided invaluable insights and significant advancements in areas such as applied mathematics, numerical analysis, and modeling and simulation. With a robust impact factor and ranking in the top quartile across various related categories, including Q1 in Applied Mathematics and Physics and Astronomy, it is essential reading for researchers and professionals aiming to stay at the forefront of computational techniques and methodologies. Although the journal is not open access, it remains highly regarded with a reputation for rigorous peer review and high-quality publications. As the field continues to evolve, the JOURNAL OF COMPUTATIONAL PHYSICS highlights innovative research that not only advances theoretical constructs but also offers practical applications in scientific and engineering domains. For scholars and students, this journal embodies a critical resource for deepening their understanding and fostering dialogue within the scientific community.

Welcome to the INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, a prestigious publication dedicated to advancing the fields of artificial intelligence, control systems engineering, information systems, and software research. Published by WORLD SCIENTIFIC PUBL CO PTE LTD in Singapore, this journal serves as a vital forum for the dissemination of innovative theories, methodologies, and applications rooted in the coexistence of uncertainty and fuzziness within knowledge-based systems. With its ISSN 0218-4885 and E-ISSN 1793-6411, the journal consistently ranks in the Q3 category across various Scopus categories, including Control and Systems Engineering and Information Systems, reflecting its influential position in the academic community. Researchers and practitioners alike will find valuable insights and the latest trends through its comprehensive articles, making this journal an essential resource for those seeking to navigate the complexities of this evolving field.

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.

Statistics & Risk Modeling is a distinguished journal published by WALTER DE GRUYTER GMBH, focusing on the intricate relationships between statistical methodologies and risk assessment techniques. With a strong academic foundation, the journal has been an influential platform in its field since its inception, converging contributions from 1982 to 2002 and again from 2011 to 2024. This journal is currently ranked in the Q3 category in both Modeling and Simulation and Statistics and Probability, reflecting its commitment to advancing knowledge and promoting robust research in statistics, probability, and uncertainty analysis. Although it offers a traditional subscription model, its significant contribution to the community is underscored by its increasing visibility in Scopus rankings, where it stands in the 44th percentile for Decision Sciences and Statistics. By comprehensively addressing contemporary issues in statistical theory and its practical applications, Statistics & Risk Modeling serves as an essential resource for researchers, professionals, and students aiming to deepen their understanding of statistical science and its implications in risk management.