RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, published by WALTER DE GRUYTER GMBH in Germany, is a vital resource for researchers and practitioners in the fields of numerical analysis, mathematical modeling, and computational mathematics. With an ISSN of 0927-6467 and an E-ISSN of 1569-3988, this journal has been disseminating significant findings since its inception in 1986 and continues to do so into 2024. Despite its current position in Q4 category quartiles and modest Scopus rankings, it provides a platform for innovative research that contributes to the evolution of modeling and simulation techniques. The journal is committed to fostering an understanding of complex numerical methods and their applications across various scientific disciplines. Although it does not provide Open Access options, it remains a key publication that underscores the importance of rigorous mathematical analysis and its practical implications in today's technology-driven world.

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.

Networks and Heterogeneous Media is a distinguished journal published by the American Institute of Mathematical Sciences (AIMS), focusing on the dynamic interplay of networks across various interdisciplinary fields including applied mathematics, computer science, and engineering. With a diverse and robust scope, the journal aims to facilitate the advancement of knowledge regarding complex systems and heterogeneous media through the publication of cutting-edge research. The journal has exhibited notable academic impact, currently positioned in Q2 and Q3 quartiles across several key categories such as applied mathematics, engineering, and statistics, indicating its relevance and influence within the scientific community. Researchers and professionals exploring intricate mathematical models, computational applications, and statistical methodologies will find Networks and Heterogeneous Media an invaluable resource for both foundational studies and innovative applications. The journal regularly publishes high-quality articles, contributing to emerging discussions and developments in a rapidly evolving field.

JOURNAL OF THEORETICAL BIOLOGY, published by Academic Press Ltd - Elsevier Science Ltd, stands as a pivotal source of scholarly research in the domains of theoretical and applied biological sciences. Since its inception in 1961, this esteemed journal has contributed significantly to the advancement of knowledge across various fields, including agricultural sciences, applied mathematics, biochemistry, genetics, immunology, and medical research. With a commendable Q2 ranking in multiple categories for 2023, it showcases robust impact throughout the academic community, reflected in its high Scopus rankings, which place it in the top 25% of journals in several categories. The journal's commitment to fostering interdisciplinary research supports its objective of bridging theoretical frameworks with practical applications, making it an essential resource for researchers, professionals, and students alike. With its wide-ranging topics and a keen focus on innovation, the JOURNAL OF THEORETICAL BIOLOGY is indispensable for those seeking to explore the complexities of biological systems and their mathematical modeling.

Kinetic and Related Models, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished journal that focuses on innovative research in the realms of kinetic theory, modeling, and numerical analysis. With an ISSN of 1937-5093 and an E-ISSN of 1937-5077, this journal offers critical insights and advances in mathematical sciences, making significant contributions to both theoretical and practical applications in these fields. As of 2023, it holds a respectable Q2 category ranking in both Modeling and Simulation and Numerical Analysis, reflecting its impact and relevance in the academic community, with Scopus ranks positioning it favorably among its peers. Although it operates through a subscription model, the journal is key for researchers aiming to remain at the forefront of mathematical modeling methodologies and numerical techniques. Established to serve the academic community since 2010, Kinetic and Related Models fosters interdisciplinary collaboration, catering not only to scholars but also to professionals and students looking to deepen their understanding and application of kinetic models in various recent contexts.

npj Systems Biology and Applications, published by NATURE PORTFOLIO, is a premier open-access journal that has been at the forefront of the field since its inception in 2015. With a commendable focus on the interdisciplinary integration of applied mathematics, biochemistry, computer science, and drug discovery, the journal currently enjoys a Q1 ranking across multiple categories, showcasing its significant impact within the scientific community. In 2023, it ranked 70 out of 635 in Applied Mathematics and holds a notable place in the 89th percentile, confirming its esteemed reputation among researchers. Situated in the United Kingdom, this journal not only promotes innovative research in systems biology but also serves as an essential platform for the dissemination of high-quality studies that delve into modeling, simulation, and the application of biological systems in drug discovery processes. With an open-access model, authors can reach a broad audience, enhancing collaborations and advancing knowledge across disciplines, making it an indispensable resource for researchers, professionals, and students alike seeking to contribute to the evolving landscape of systems biology.

Results in Applied Mathematics, published by Elsevier, stands as a vital resource in the field of applied mathematics, demonstrating strong academic rigor with an impressive Q2 ranking in its category for 2023. With an ISSN of 2590-0374 and an E-ISSN of 2590-0374, this open-access journal, established in 2019, provides an innovative platform for researchers, professionals, and students to disseminate and access cutting-edge research findings. The journal is indexed in Scopus, ranking #210 out of 635 in the applied mathematics category, placing it in the top 67th percentile of its field. With an aim to bridge theory and practice, Results in Applied Mathematics covers a diverse range of topics, fostering collaborations and providing insights that are integral to the advancement of mathematical applications across various disciplines.

Quantitative Biology is a prestigious journal published by WILEY, focusing on the interdisciplinary study of quantitative approaches in the biological sciences. With an ISSN of 2095-4689 and an E-ISSN of 2095-4697, this journal has established itself as a critical platform for researchers exploring complex biological systems through mathematical and computational methodologies. Operating out of China, Quantitative Biology significantly contributes to its field, holding a Q2 ranking in various categories, including Applied Mathematics and Biochemistry, Genetics and Molecular Biology, according to the latest Scopus rankings. These rankings reflect the journal's commitment to publishing high-quality research that employs advanced modeling and simulation techniques. The journal's impact is evident with its position in the 84th percentile for Applied Mathematics, indicating its relevance and growth in a competitive academic landscape. Although it does not currently operate under an Open Access model, the journal is pivotal for professionals and students alike, aiming to bridge the gap between mathematical theories and biological applications. Researchers are encouraged to submit their innovative findings and engage with the vibrant community dedicated to advancing the quantitative understanding of biological phenomena.

Journal of the Royal Society Interface is a premier interdisciplinary journal dedicated to the convergence of life sciences, physical sciences, and engineering. Published by the esteemed Royal Society in the United Kingdom, this journal serves as a dynamic platform for innovative research that pushes the boundaries of both fundamental and applied science. With a significant impact factor and ranked in the prestigious Q1 category across multiple domains, including Biochemistry, Bioengineering, and Biomedical Engineering, the journal consistently prioritizes high-quality contributions that innovate and inspire. Accessible to researchers, professionals, and students alike, it aims to cultivate a deeper understanding of complex interactions and synergies among biological and physical systems. From its inception in 2004 to its evolving knowledge contributions through 2024, the Journal of the Royal Society Interface plays a pivotal role in shaping future research directions and fostering collaboration across scientific domains.

The Journal of Biological Dynamics is a pivotal open access publication, established in 2007 and published by Taylor & Francis Ltd, that caters to a broad field of inquiry within Ecology, Evolution, Behavior, and Systematics. With an ISSN of 1751-3758 and an E-ISSN of 1751-3766, this journal has garnered a respectable reputation, securing a Q2 ranking in both its primary categories according to the 2023 metrics. The journal aims to disseminate high-quality research that stimulates dialogue among ecological scientists, practitioners, and students while providing insightful analysis on biological dynamics. As part of its commitment to accessibility, it has been an open access publication since 2012, allowing free access to its rich repository of knowledge. Hailing from the United Kingdom, this journal not only provides a platform for original research but also contributes significantly to advancing ecological understanding through its innovative approach.