Journal of Complex Networks, published by Oxford University Press, stands as a prominent platform in the fields of Applied Mathematics, Computational Mathematics, and Computer Networks and Communications. Since its inception in 2013, this esteemed journal has garnered a strong reputation, achieving a Q2 category ranking across multiple disciplines in 2023, indicating its influence and quality in the relevant academic circles. With an ISSN of 2051-1310 and E-ISSN 2051-1329, it aims to facilitate the understanding of intricate network systems and their applications, positioning itself at the forefront of cutting-edge research. While the journal currently does not offer Open Access options, it remains a vital resource for researchers, professionals, and students seeking insights into the dynamic interplay between networks and computational methodologies. Its commitment to promoting rigorous research is reflected in its impressive Scopus rankings, which highlight its intersectional impact on various mathematical and computational disciplines. Contributing to this journal provides authors with an opportunity to engage with a broad audience dedicated to advancing knowledge in complex networks, optimization, and management science.

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT is a prominent academic journal published by IOP Publishing Ltd in the United Kingdom, focusing on the interdisciplinary realms of statistical mechanics and its applications across both theory and experimental research. Since its inception in 2004, the journal has consistently served as a crucial platform for researchers and professionals in statistical and nonlinear physics, as well as statistics and probability. With its strong Scopus ranking in the 87th percentile for Mathematics and 78th percentile in Physics and Astronomy, JOURNAL OF STATISTICAL MECHANICS provides high-impact content that promotes innovative research and the latest advancements in the field. Although currently not an open-access journal, it supports a wide readership through its strategic focus on rigorous peer-reviewed studies. Researchers, professionals, and students pursuing excellence in statistical mechanics will find this journal an invaluable resource for the dissemination of impactful findings and theoretical explorations.

Network Science is a distinguished journal published by Cambridge University Press, dedicated to advancing our understanding of complex networks across various domains, including communication, sociology, and psychology. Since its inception in 2013, the journal has consistently aimed to provide a platform for groundbreaking research that explores the structure and dynamics of networks, thereby facilitating interdisciplinary collaboration and innovation. With an impressive ranking in the Q2 category for Communication and Sociology, and Q3 for Social Psychology, Network Science has carved out a significant niche within the academic community, reflected in its reputable metrics—ranking #112 out of 511 in Communication and #333 out of 1466 in Sociology and Political Science according to Scopus. The journal plays a pivotal role in shaping the landscape of network theory and analysis, making it an essential resource for researchers, practitioners, and students eager to delve into the intricate relationships that underpin social systems. Access to this journal fosters an environment of scholarly exchange and stimulates further research in the rapidly evolving field of network studies.

Applied Network Science is a premier open access journal published by SpringerNature that has been a vital resource in the fields of computational mathematics and computer networks since its inception in 2016. With an impressive Q1 ranking in Multidisciplinary fields and Q2 rankings in both Computational Mathematics and Computer Networks and Communications, it distinguishes itself as a significant contributor to interdisciplinary research efforts. The journal fosters innovative methodologies and applications within network science, making it a crucial platform for researchers, professionals, and students alike. With an E-ISSN of 2364-8228 and a commendable standing in global rankings, it supports a broad audience through its commitment to open access, ensuring that groundbreaking research is readily available. Located in Switzerland, Applied Network Science continues to shape the landscape of network research and communication, making substantial impacts across various domains.

Journal of Mathematics Mechanics and Computer Science is a pioneering open access journal published by AL-FARABI KAZAKH NATL UNIV, dedicated to advancing the field of mathematics and its applications in mechanics and computer science. Established in 2009, this journal aims to provide a platform for innovative research, encouraging the dissemination of high-quality, peer-reviewed articles that push the boundaries of mathematical theory and computational methods. Though the journal currently ranks within the lower quartiles in Scopus categories, it remains committed to fostering academic discourse and advancing knowledge in its scope areas. Located in Almaty, Kazakhstan, the journal also emphasizes accessibility, ensuring that all research is readily available to researchers, professionals, and students worldwide. With a focus on developing new theoretical frameworks and practical applications, the Journal of Mathematics Mechanics and Computer Science is an essential resource for those aiming to engage with cutting-edge developments in mathematics and computer science.

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.

Moscow University Mechanics Bulletin, published by PLEIADES PUBLISHING INC, is a dedicated journal that has been influencing the fields of mechanical engineering and mechanics since its inception. With an ISSN of 0027-1330 and E-ISSN of 1934-8452, this journal serves as a crucial platform for advancing knowledge in mathematics, mechanical engineering, and mechanics of materials. Though currently indexed in the Q4 category across these disciplines, it offers a unique space for researchers and professionals to engage with emerging theories, experimental results, and practical applications. With a converged publication history spanning from 1973 to 1987, and continuing from 2007 to 2024, the journal remains relevant in today’s academic landscape. Though it operates under traditional access models, the journal's global reach aims to connect diverse voices in engineering research. Aspiring researchers and seasoned professionals alike will find valuable insights and a robust discourse that contribute to their respective fields.

Nonlinear Engineering - Modeling and Application is a premier journal dedicated to advancing the fields of engineering, modeling, and simulation, published by De Gruyter Poland Sp. z o.o. since 2012. With an impressive impact factor reflected in its prestigious rankings—Q2 in Chemical Engineering and Miscellaneous Engineering and Q3 in Computer Networks and Communications—this journal serves as an invaluable resource for researchers and practitioners seeking to explore the intricacies of nonlinear systems and their applications. As an Open Access journal since 2019, it ensures that groundbreaking research is readily available to the global community, fostering collaboration and innovation. Situated at the forefront of its field, Nonlinear Engineering provides high-quality, peer-reviewed articles that contribute to understanding complex phenomena in various engineering disciplines, making it an essential publication for those eager to stay on the cutting edge of technology and research.

PHYSICA D-NONLINEAR PHENOMENA, published by Elsevier, serves as a leading academic journal at the forefront of the fields of Applied Mathematics, Condensed Matter Physics, Mathematical Physics, and Statistical and Nonlinear Physics. With an impressive track record since its inception in 1980, this journal has maintained a distinguished presence, noted for its Q1 ranking in multiple categories in 2023, showcasing its impact and relevance in the scientific community. The journal's commitment to advancing knowledge is reflected not only in its rigorous peer-reviewed articles but also through its high visibility and accessibility, aiding researchers, professionals, and students in staying abreast of the latest developments in nonlinear phenomena. Located in Amsterdam, Netherlands, PHYSICA D-NONLINEAR PHENOMENA is essential for those seeking to explore innovative research and contribute to groundbreaking discoveries in the realm of nonlinear dynamics.

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.