Systems Science & Control Engineering, published by Taylor & Francis Ltd, stands out as a premier open-access journal devoted to the advancement of control systems, optimization methodologies, and artificial intelligence applications within engineering. Since its inception in 2013, the journal has garnered a strong reputation evidenced by its impressive categorization in 2023, ranking Q2 in Artificial Intelligence and achieving Q1 status in both Control and Optimization and Control and Systems Engineering. With a Scopus ranking that places it among the top tier of its fields—being positioned 7th in Control and Optimization—this journal serves as an essential resource for researchers, industry professionals, and students who are seeking to publish high-quality research and stay abreast of innovative developments. The journal emphasizes the integration of theoretical frameworks with practical applications, aiming to foster interdisciplinary collaboration and stimulate future research directions in systems science.

Systems is an esteemed, peer-reviewed academic journal published by MDPI, focusing on the multifaceted fields of Computer Networks and Communications, Control and Systems Engineering, Information Systems and Management, Modeling and Simulation, and Software. Since its inception in 2013, this Open Access journal strives to disseminate high-quality research that addresses contemporary challenges in system design, analysis, and management across various disciplines. With a dynamic impact factor emerging from its Q3 ranking in several categories and notable Scopus rankings, *Systems* offers a valuable platform for academics, researchers, and industry professionals to share innovative ideas and solutions. Operating from its base in Basel, Switzerland, the journal facilitates unrestricted access to its content, ensuring that pivotal research remains available to a global audience. By fostering collaboration and knowledge exchange, *Systems* plays a crucial role in advancing the theory and application of systems thinking in today’s complex technological landscape.

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.

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.

The Journal of Systems Science & Complexity, published by SPRINGER HEIDELBERG, stands as a leading forum for innovative research in the fields of computer science and information systems. With an ISSN of 1009-6124 and an E-ISSN of 1559-7067, this journal has established itself within the academic community, garnering a commendable impact factor that reflects its influential contributions. Operating from 2006 and continuing through 2024, it is categorized in the Q2 quartile for both Computer Science (Miscellaneous) and Information Systems, indicating its quality and relevance. Recognized within Scopus rankings, it places 52nd out of 133 in its specific field, affirming its significance in advancing systems science discussions. Researchers and professionals will find a wealth of knowledge through rigorous peer-reviewed articles that explore complex systems and their applications, enabling readers to stay at the forefront of technological advancements and interdisciplinary collaboration.

Trudy Instituta Matematiki i Mekhaniki UrO RAN, a prestigious journal published by the KRASOVSKII INST MATHEMATICS & MECHANICS URAL BRANCH RUSSIAN ACAD SCIENCES, serves as a vital platform for the dissemination of research in the diverse fields of applied mathematics, computational mechanics, and computer science applications. With a dedicated focus on advancing theoretical and practical applications within these disciplines, the journal emphasizes innovative methodologies and novel concepts that are crucial in an era where mathematical techniques are increasingly intertwined with emerging technologies. Although currently not an open-access publication, the journal caters to a niche yet expansive audience of researchers, academics, and professionals, providing insights into current trends and breakthroughs. Notably, it holds a commendable position in various quartiles — Q3 in Applied Mathematics and Q2 in Computational Mechanics as of 2023, reflecting its growing influence within the scientific community. While its Scopus rankings indicate a competitive landscape, this journal continues to be a significant resource for scholarly discourse, making substantial contributions to the body of knowledge for its readers based in the Russian Federation and beyond.

CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, published by Taylor & Francis Ltd, is a pivotal academic journal dedicated to advancing the field of civil and structural engineering as well as environmental systems. With its ISSN 1028-6608 and E-ISSN 1029-0249, this journal serves as a crucial platform for disseminating high-quality research from 1998 through 2024. Recognized in the Scopus Ranks as #177 out of 379 in its category, equating to a 53rd percentile ranking, it holds a respectable Q3 category designation in Civil and Structural Engineering for 2023. The journal aims to bridge theoretical research and practical applications, showcasing innovative approaches and solutions to contemporary engineering challenges. Scattered across its pages are valuable insights from both emerging and established experts, making it an essential resource for researchers, professionals, and students seeking to enhance their understanding and impact within the civil engineering and environmental systems landscape. While it does not offer open access, the journal is part of a well-regarded publishing legacy, ensuring rigorous peer review and editorial standards that contribute meaningfully to academia and industry alike.

Welcome to the INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, a prestigious publication dedicated to advancing the fields of artificial intelligence, control systems engineering, information systems, and software research. Published by WORLD SCIENTIFIC PUBL CO PTE LTD in Singapore, this journal serves as a vital forum for the dissemination of innovative theories, methodologies, and applications rooted in the coexistence of uncertainty and fuzziness within knowledge-based systems. With its ISSN 0218-4885 and E-ISSN 1793-6411, the journal consistently ranks in the Q3 category across various Scopus categories, including Control and Systems Engineering and Information Systems, reflecting its influential position in the academic community. Researchers and practitioners alike will find valuable insights and the latest trends through its comprehensive articles, making this journal an essential resource for those seeking to navigate the complexities of this evolving field.

ARTIFICIAL LIFE, published by MIT PRESS, is a premier academic journal dedicated to the interdisciplinary study of artificial life, exploring the intersection of biology, computer science, and related fields. With an impact factor that reflects its influential contributions—especially highlighted in its Q3 rankings in Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, and Ecology, Evolution, Behavior and Systematics—the journal serves as a critical platform for researchers, professionals, and students alike. Originating in 1995, ARTIFICIAL LIFE continues to publish cutting-edge research that pushes the boundaries of our understanding of life-like systems, both natural and synthetically designed. Despite having limited open access options, the journal’s role in fostering innovative discussions and advancements in its field cannot be overstated, making it an essential resource for anyone engaged in the study and application of artificial life concepts.

Health Systems is a vital journal dedicated to advancing the understanding and application of health system dynamics, innovations, and policies. Published by Taylor & Francis Ltd, this journal has established a reputation as a significant contributor in the fields encompassing Computer Science Applications, Health Informatics, and Health Policy, among others. With a Q3 category ranking in various relevant disciplines and notable percentile rankings in health policy and management sciences, Health Systems serves as a robust platform for researchers and practitioners to publish their findings and foster interdisciplinary dialogues. The journal attracts a diverse audience committed to improving health systems through empirical research and theoretical developments. It continuously evolves, reflecting contemporary challenges and innovations from 2012 to 2024, making it an indispensable resource for those invested in the future of healthcare.