Studies in Informatics and Control is a distinguished academic journal published by the NATL INST R&D INFORMATICS-ICI, specializing in the interdisciplinary fields of Computer Science and Electrical and Electronic Engineering. With an ISSN of 1220-1766 and a recognized standing within its field, this journal aims to foster innovation and disseminate high-quality research findings from 2010 through 2024. It maintains a significant presence in the academic landscape, holding a Q3 ranking in both Computer Science (miscellaneous) and Electrical and Electronic Engineering categories for 2023, which underscores its commitment to advancing knowledge and technology in these areas. While the journal is not open access, it provides valuable insights and results that are essential for researchers, professionals, and students striving to develop their expertise in informatics and control systems. Based in Romania, its contributions traverse international boundaries, appealing to a global audience keen on the latest developments and trends within these rapidly evolving fields.

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

CYBERNETICS AND SYSTEMS ANALYSIS is a distinguished journal published by Springer, focusing on innovative research and developments in the fields of cybernetics, systems analysis, and their applications within computer science. With an ISSN of 1060-0396 and E-ISSN of 1573-8337, this journal serves as a critical platform for disseminating groundbreaking ideas that drive advancements in computational theories and practices. Although it operates under a subscription model, the journal is highly regarded with a Q3 ranking in computer science, as of 2023, highlighting its relevance in the academic community. Covering a broad scope from the convergence years of 1991–2001 and 2003, and extending its reach from 2005 through 2024, CYBERNETICS AND SYSTEMS ANALYSIS plays a pivotal role in fostering dialogue and collaboration among researchers, professionals, and students, aiming to merge theory with practical applications in cybernetics and systems thinking.

Founded in 2005, the International Journal of Intelligent Information Technologies serves as a pivotal platform for the dissemination of cutting-edge research in the fields of decision sciences and information systems. Published by IGI Global, this journal is dedicated to advancing the understanding of intelligent systems, data analytics, and technological innovations that drive modern decision-making processes. With an ISSN of 1548-3657 and an E-ISSN of 1548-3665, the journal is indexed strategically to ensure visibility among academia and industry professionals. Although it currently holds a ranking in the Q4 quartile of both decision sciences and information systems categories in 2023, it stands out for its comprehensive investigations into best practices and emerging trends in intelligent information technologies. It aims to provide readers with rigorous, peer-reviewed articles that offer practical insights and theoretical frameworks to facilitate informed decision-making in an increasingly data-driven world. Its commitment to quality research makes it an invaluable resource for researchers, professionals, and students alike who are eager to explore new dimensions of technology-assisted decision-making.

The International Journal of Interactive Multimedia and Artificial Intelligence, published by UNIV INT RIOJA-UNIR in Spain, is a leading Open Access journal that has been fostering knowledge dissemination in the field since 2008. With an ISSN of 1989-1660 and an impressive impact characterized by its Q1 and Q2 rankings across major categories in Artificial Intelligence and Computer Science, the journal serves as a crucial platform for researchers and professionals eager to explore innovative applications and technological advancements. This journal is particularly distinguished by its commitment to high-quality peer-reviewed research, evident in its current Scopus rankings, which place it among the top percentile in various computer science domains, including Statistics, Signal Processing, and Computer Vision. The journal's scope encompasses a wide array of topics that intersect with multimedia and artificial intelligence, making it an invaluable resource for students and emerging scholars aiming to deepen their understanding and contribute to these vibrant fields. Through its Open Access model, it ensures that research is accessible to a global audience, thus enhancing the visibility and impact of the scientific discourse.

The International Journal of Intelligent Computing and Cybernetics, published by EMERALD GROUP PUBLISHING LTD, serves as a pivotal platform for advancing the field of intelligent computing and cybernetics since its inception in 2008. With a strong focus on innovative research and interdisciplinary collaboration, this journal is positioned in the prestigious Q2 category of Computer Science, ranking at an impressive 42nd out of 232 in Scopus, reflecting an 82nd percentile performance. The journal provides a venue for scholars and practitioners to disseminate their findings on cutting-edge technologies and methodologies that bridge the realms of computing, artificial intelligence, and cybersecurity. Although currently not an open-access journal, it widely circulates valuable insights essential for driving forward academic discourse and practical applications in the rapidly evolving digital landscape. Researchers, professionals, and students are encouraged to engage with this journal to stay at the forefront of advancements in intelligent systems and cybernetic solutions.

COMPUTERS IN INDUSTRY is a premier journal published by Elsevier, dedicated to the exploration and advancement of the intersection between technology and industrial applications. With a history spanning from 1979 to 2024, this high-impact journal holds prestigious Q1 rankings in both Computer Science and Engineering, showcasing its significant contribution to the fields of general engineering and computer science. Notably, it ranks #4 out of 307 journals and #9 out of 232 journals in their respective categories on Scopus, placing it in the top 2% of publications worldwide. Although it is not an Open Access journal, it continues to serve as a vital resource for researchers, professionals, and students seeking in-depth insights and innovative research findings in industrial computing. The journal’s objective is to publish high-quality, peer-reviewed articles that advance the understanding and application of computer systems in industrial environments, reaffirming its crucial role in driving technological progress and operational efficiency.

Applied System Innovation is a leading multidisciplinary journal published by MDPI, dedicated to advancing the fields of applied mathematics, artificial intelligence, control systems, human-computer interaction, and industrial and manufacturing engineering. With an impressive Open Access model established since 2018, it ensures that research findings are readily accessible to a global audience, fostering collaboration and innovation. The journal, boasting a robust impact in academia, has achieved multiple distinguished quartile rankings for 2023, including Q1 in Industrial and Manufacturing Engineering and Q2 in several other key disciplines. It is recognized in various Scopus categories, with notable rankings in applied mathematics and control systems. By encouraging high-quality research and providing a platform for knowledge exchange, Applied System Innovation plays a vital role in shaping the future of technology and engineering solutions. We invite researchers, professionals, and students alike to contribute to this dynamic field through impactful publications that inspire advancements in our understanding of complex systems.

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.