Applications of Mathematics, published by SpringerNature, is a respected journal based in the Netherlands that provides a platform for innovative research in the field of applied mathematics. Since its inception in 1997 and with a convergence ongoing until 2024, the journal supports the dissemination of high-quality scholarship, although it currently holds a Q4 category ranking in the applied mathematics category, which reflects its niche importance in the academic community. Researchers and professionals in the field can access a diverse array of applied mathematical techniques and their practical applications, contributing to advancements across various disciplines. While the journal does not operate under an open access model, it is indexed and ranked in Scopus, where it holds a rank of 419 out of 635, placing it in the 34th percentile. This underscores its value and relevance in the global research landscape.

Welcome to the ACM Transactions on Mathematical Software, a prestigious journal published by the Association for Computing Machinery (ACM). With an ISSN of 0098-3500 and an E-ISSN of 1557-7295, this journal has been at the forefront of innovation in the field since its inception in 1975. It serves as a critical platform for researchers, professionals, and students, facilitating the dissemination of advanced mathematical techniques and software developments. The journal is recognized for its outstanding impact, evidenced by its Q1 classification in Applied Mathematics and Q2 in Software for 2023, along with an impressive Scopus ranking placing it in the 85th percentile for Applied Mathematics and the 58th percentile for Computer Science. Our objective is to publish high-quality research that explores new methodologies in mathematical software and their applications, driving the field forward. Although not an open access journal, the relevance and rigor of the content ensure that it remains a valuable resource in mathematical and computational sciences. Join us in exploring the latest in mathematical software and contribute to shaping future advancements.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, published by Taylor & Francis Inc, is a premier international journal dedicated to advancing the fields of analysis, optimization, and applied mathematics. With its ISSN 0163-0563 and E-ISSN 1532-2467, this journal has established itself as a vital resource for researchers and practitioners seeking to explore innovative methodologies and applications. Covering a broad spectrum of topics intersecting mathematical analysis and computer science, it has consistently ranked in the Q2 tier for Analysis and Control and Optimization categories and is well-regarded in the communities of Signal Processing and Computer Science Applications. The journal's commitment to publishing high-quality research ensures significant contributions to solving complex problems in various fields, making it an essential reference for students, academics, and industry professionals. With a publishing history dating back to 1979, it encourages the dissemination of groundbreaking ideas and practical methodologies, fostering a collaborative academic environment. Access to the published articles may vary, so contributors and readers are encouraged to engage with the latest findings and ongoing research through the journal’s platform.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, published by Springer, stands as a leading journal in the fields of Applied Mathematics, Computational Mathematics, and Control and Optimization, showcasing a distinguished impact factor that underscores its relevance and scholarly influence. With its ISSN 0926-6003 and E-ISSN 1573-2894, this journal serves as a vital platform for researchers and professionals to discuss advancements in computational methods and optimization techniques, fostering interdisciplinary collaboration. Operating from the Netherlands and established in 1992, it covers works that push the boundaries of mathematical theory and practical applications. With an impressive standing in Scopus rankings—placing it in the top quartile for prominent mathematics disciplines—its rich archive and ongoing contributions are essential for anyone looking to contribute to or stay updated in these evolving areas. The journal's commitment to quality and innovation makes it an indispensable resource for academia and industry alike, ensuring that readers can engage with the most current research and developments in computational optimization.

ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH is a premier academic publication dedicated to the dynamic fields of operational research and management science, published by WORLD SCIENTIFIC PUBL CO PTE LTD. Located in Singapore, this journal has been pivotal in contributing to the dialogue and development of innovative strategies and methodologies within the operational research community since its inception in 1991. With a focus on practical applications and theoretical advancements, it serves as an essential resource for researchers, practitioners, and students seeking to enhance their understanding and expertise in decision sciences. The journal has gained recognition with a Q3 ranking in Management Science and Operations Research in the 2023 category quartiles, underlining its significance in the academic landscape. The Scopus ranking positions it reasonably well, attracting contributions that address both contemporary and emerging challenges in the field. Although the journal operates under a traditional publishing model, it offers vital access to a wealth of high-quality research, making it a go-to source for key findings and methodologies in operational research. Through its rigorous peer-review process, the journal aims to foster collaborative efforts that advance knowledge and practice across the Asia-Pacific region and beyond.

Applied Mathematics and Optimization, published by Springer, is a prestigious journal dedicated to the rigorous exploration of applied mathematics, optimization techniques, and their multifaceted applications. Since its inception in 1974, the journal has maintained a robust reputation within the academic community, achieving a commendable Q1 ranking in both Applied Mathematics and Control and Optimization categories as of 2023. With an impact factor that underscores its influence in the field, the journal provides a platform for researchers and practitioners to disseminate innovative methodologies and significant advancements. While it does not offer Open Access, the journal’s esteemed peer-reviewed articles serve as invaluable resources for the advancement of theoretical knowledge and practical applications. Researchers, professionals, and students alike will find Applied Mathematics and Optimization an essential source for staying at the forefront of mathematical sciences, particularly in optimizing real-world systems and processes.

The Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software is a distinguished academic journal focusing on the interdisciplinary fields of mathematical modeling, programming, and software development. Published by the SOUTH URAL STATE UNIVERSITY, SCIENTIFIC RESEARCH DEPARTMENT, this journal serves as a platform for the dissemination of innovative research findings, methodologies, and applications in computational mathematics and related disciplines. With its ISSN 2071-0216 and E-ISSN 2308-0256, it has garnered attention within the research community, reflected in its rankings within the Q4 quartile across multiple categories in 2023, including Computational Mathematics and Software. Although it operates under an open access model, the journal emphasizes the importance of high-quality, peer-reviewed content to advance research education and practice in the Russian Federation and beyond. Researchers, professionals, and students are encouraged to contribute and access valuable insights, fostering collaboration among disciplines spanning mathematical theory, computational methods, and software development.

Genetic Programming and Evolvable Machines, published by SPRINGER, is a leading journal dedicated to the fields of genetic algorithms, evolutionary computation, and machine learning. With an ISSN of 1389-2576 and an E-ISSN of 1573-7632, this esteemed journal encompasses original research articles, reviews, and applications that explore the intricate relationships between intelligent systems and evolutionary processes. As of 2023, it holds a notable Q2 ranking in various categories including Computer Science Applications and Hardware and Architecture, reflecting its significant impact in advancing knowledge and methodologies within these domains. The journal's metrics, including a top rank of #31/130 in Theoretical Computer Science, signify its relevance and contribution to the broader academic community. Though not open access, papers published in the journal continue to serve as critical resources for both researchers and practitioners, promoting innovative methodologies and solutions. Covering a broad scope with a convergence extending from 2003 to 2024, this journal remains a pivotal platform for sharing cutting-edge research that shapes the future of artificial intelligence and computational theory.

SIAM Journal on Optimization is a prestigious academic journal published by SIAM Publications, dedicated to advancing the field of optimization within applied mathematics, theoretical computer science, and software. Since its inception in 1991, the journal has maintained a rigorous commitment to publishing high-quality research that drives innovation and application in optimization theory and methodology. With a significant impact factor and currently ranking in the Q1 quartile across various academic categories, the journal serves as an essential platform for researchers, professionals, and students aiming to contribute to this dynamic field. Although it does not currently offer open access, the journal's robust reputation and extensive reach make it an invaluable resource for those looking to stay at the forefront of optimization research. Based in Philadelphia, PA, this journal plays a crucial role in disseminating pivotal findings that enhance both theoretical understanding and practical applications of optimization in diverse domains.

Discrete Optimization is a leading academic journal published by Elsevier, focusing on the pivotal field of discrete optimization, which plays a crucial role in various domains including applied mathematics, computational theory, and theoretical computer science. With its ISSN 1572-5286 and E-ISSN 1873-636X, the journal offers a platform for researchers to disseminate their findings and contribute to the advancement of knowledge in discrete methodologies and algorithmic strategies. Discrete Optimization has demonstrated a steady path of progress, recognized in 2023 with a Q3 quartile ranking across applied mathematics, computational theory, and theoretical computer science categories, indicating it is a respected journal within these competitive fields. Although currently a subscription-based journal, it continues to inspire innovative research and offers valuable insights for researchers, professionals, and students alike. The journal serves as an essential resource for those seeking to deepen their understanding and application of optimization techniques, contributing to the ongoing evolution of the discipline.