Nonlinear Dynamics Psychology and Life Sciences is a leading journal published by the SOC CHAOS THEORY PSYCHOLOGY & LIFE SCIENCES, focusing on the intersection of nonlinear dynamics and psychological phenomena as well as their implications in life sciences. With an ISSN of 1090-0578 and an E-ISSN of 1573-6652, this journal stands out as a reputable source of innovative research and analytical studies that contribute significantly to the fields of applied mathematics and psychology. By delving into the complex behaviors and patterns of dynamic systems, the journal addresses vital contemporary issues, making it essential reading for researchers, professionals, and students alike. Although it operates on a traditional access model, the journal's insights are invaluable for understanding the empirical background behind nonlinear dynamics in psychological research. Recognized within the academic community for its contributions, it holds a 2023 Scopus ranking of #436 out of 635 in the Applied Mathematics category, placing it in the 31st percentile, and it is designated as Q3 in its quartile categorization. As a bridge between theoretical foundations and real-world applications, Nonlinear Dynamics Psychology and Life Sciences aims to foster interdisciplinary dialogue and inspire future research in this exciting and evolving field.

The INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, published by TAYLOR & FRANCIS LTD, is a prestigious peer-reviewed journal dedicated to advancing the fields of systems theory and its applications across a variety of scientific disciplines. With an ISSN of 0308-1079 and an E-ISSN of 1563-5104, this journal has carved a niche since its inception in 1974, continuing to provide a platform for innovative research through to 2024. Featured in the esteemed Q2 category in multiple domains, including Computer Science Applications, Control and Systems Engineering, and Information Systems, it serves as a vital resource for the scientific community, fostering interdisciplinary collaboration. The journal's rankings in Scopus reflect its quality, with noteworthy positions in fields such as Mathematics, Engineering, and Theoretical Computer Science. While access is through subscription, the journal remains an essential conduit for researchers, professionals, and students eager to deepen their understanding of general systems and their complex interactions within various environments.

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.

MODELING IDENTIFICATION AND CONTROL is a prominent academic journal dedicated to the fields of Computer Science Applications, Control and Systems Engineering, Modeling and Simulation, and Software. Published by MIC in Norway, this open access journal has been providing valuable insights and innovative research since 1980, promoting the free dissemination of knowledge. With a reputation reflected in its 2023 quartile rankings—Q3 in Computer Science Applications, Q2 in Control and Systems Engineering, and Modeling and Simulation, as well as Q3 in Software—this journal plays a vital role in advancing theoretical and practical solutions within its disciplines. Researchers and professionals benefit from its rigorous peer-review process and impactful publications, fostering collaboration and the exploration of emerging technologies across various applications. The journal's continual commitment to excellence is exemplified by its active presence in Scopus, where it maintains respectable rankings in relevant engineering and computer science subcategories, supporting its goal to be a pivotal resource for scholarly communication and practical advancements.

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.

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.

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.

DISCRETE DYNAMICS IN NATURE AND SOCIETY is a leading academic journal published by HINDAWI LTD, specializing in the intricate interrelationship between discrete modeling and its applications in both natural phenomena and societal dynamics. Established as an Open Access journal since 1997, it ensures that research outputs are freely accessible to a global audience, fostering collaboration and innovation within the field. Based in the United States, this journal has seen substantial contributions to the domains of mathematics, modeling, and simulation, achieving a commendable Q3 category ranking for its impact in these areas. With its robust focus on empirical research and the theoretical underpinnings of discrete systems, the journal appeals to a diverse readership including researchers, professionals, and students eager to explore and contribute to the ongoing discussions shaping our understanding of dynamics in complex systems.

Welcome to the Journal of Cellular Automata, an esteemed publication dedicated to advancing the understanding and application of cellular automata in various contexts. Published by OLD CITY PUBLISHING INC in the United States, this journal serves as a pivotal platform for researchers, professionals, and students in the fields of Computer Science and Control and Systems Engineering. Since its inception in 2008, the journal has provided a unique avenue for disseminating original research, reviews, and case studies that drive innovation in these interdisciplinary areas. Although it currently holds a Q4 ranking in Scopus for both Computer Science and Control and Systems Engineering categories, the journal aims to enhance its impact through rigorous peer review and the promotion of groundbreaking ideas. While access options do not include an open-access model, contributors and investigators can look forward to a vibrant exchange of knowledge dedicated to exploring the complexities and applications of cellular automata in various systems. Join us in our journey as we delve into the intricacies of this fascinating domain, contributing to the collective understanding and technological advancement within the scientific community.

Complex Systems is a pivotal journal published by Complex Systems Publications Inc, specializing in the interdisciplinary field of complex systems science. With an ISSN of 0891-2513, it focuses on advancing the understanding of complex phenomena across various domains, including computer science and control engineering. Operating from the United States, this journal has established itself as a credible source with a current impact factor reflecting its relevance—ranking in the Q3 category for both Computer Science (miscellaneous) and Control and Systems Engineering as of 2023. Although it does not offer Open Access, Complex Systems aims to facilitate the exchange of cutting-edge research and innovative methodologies, making it indispensable for researchers, professionals, and students eager to explore and contribute to the field. With coverage spanning from 2012 to 2024, it strives to foster a deeper understanding of the principles governing complex systems, thus paving the way for future technological advancements and theoretical developments.