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.

Physics of Life Reviews is an esteemed journal published by ELSEVIER, focusing on the interdisciplinary study of life sciences through the lens of physical principles. Since its inception in 2004, the journal has garnered considerable recognition, achieving a remarkable impact factor that underscores its significance—ranking in the top quartile (Q1) across three distinct categories in 2023, including Agricultural and Biological Sciences, Artificial Intelligence, and Physics and Astronomy. These exceptional rankings highlight the journal's commitment to advancing research and fostering innovation in the application of physical concepts to biological systems. Physics of Life Reviews provides comprehensive reviews, critical analyses, and cutting-edge insights that are essential for researchers, professionals, and students seeking to navigate and contribute to this dynamic field. As an essential resource, the journal encourages the exploration of new paradigms and methodologies, facilitating the growth of knowledge at the intersection of physics and life sciences.

Nonlinear Phenomena in Complex Systems, published by BELARUSSIAN STATE UNIV, JOINT INST POWER & NUCLEAR RESEARCH, is an emerging platform dedicated to advancing the understanding of nonlinear phenomena within complex systems. With an ISSN of 1561-4085 and an E-ISSN of 1817-2458, this journal serves as a vital resource for researchers spanning the fields of mathematical physics and statistical and nonlinear physics. While classified within the Q4 quartile for both disciplines as of 2023, we encourage authors to submit impactful research that addresses the intricacies and challenges presented by complex systems, which are pivotal in various scientific applications. Targeting an international audience, including researchers, professionals, and students, the journal aspires to foster collaboration and innovation by offering open access to its insightful articles. With a converged publication timeline from 2009 to 2024, Nonlinear Phenomena in Complex Systems is poised to become a significant contributor to the evolving dialogue around nonlinear dynamics and their implications across multiple scientific 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.

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.

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.

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.

EPJ Data Science is a prominent open-access journal affiliated with SPRINGER, dedicated to disseminating high-quality research in the fields of Computational Mathematics, Computer Science Applications, and Modeling and Simulation. Established in 2012, this journal provides a scholarly platform for innovative ideas and methodologies aimed at advancing data science, bridging gaps between theoretical foundations and practical applications. With impressive rankings, including Q1 in Modeling and Simulation and Q2 in both Computational Mathematics and Computer Science Applications as of 2023, EPJ Data Science is recognized for its significant contributions to academia, evidenced by its strong performance in Scopus rankings. The journal is committed to open access, ensuring that research is accessible to a global audience, thereby enhancing collaboration and interdisciplinary communication. Located at One New York Plaza, Suite 4600, New York, NY 10004, United States, it serves as a hub for researchers, professionals, and students eager to share and explore pioneering developments in data science.

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.

Computational and Mathematical Organization Theory, published by SPRINGER, is a prominent journal specializing in the intersection of mathematical and computational methodologies within organizational theory. With its ISSN 1381-298X and E-ISSN 1572-9346, this journal has established itself as a critical source of cutting-edge research since its inception in 1995 and continues to thrive with contributions spanning from 2005 to 2024. Noteworthy is its recognition in the 2023 quartile rankings, where it holds a Q2 status across multiple categories, such as Applied Mathematics, Computational Mathematics, and Decision Sciences, reflecting its broad analytical scope and the relevance of its findings to diverse fields. Furthermore, its Scopus rankings position it favorably within the academic community, underscoring its significant impact in Applied Mathematics (Rank #156/635), Computational Mathematics (Rank #59/189), and Modeling and Simulation (Rank #122/324). Although the journal is not open access, it provides crucial insights and methodologies that aid researchers and practitioners in enhancing organizational processes through mathematical and computational lenses. For scholars seeking to advance their understanding and application of these interdisciplinary approaches, Computational and Mathematical Organization Theory serves as an invaluable resource in the ever-evolving landscape of academic inquiry.