The Journal of Intelligent Systems, published by DE GRUYTER POLAND SP Z O O, is a premier open access journal that has been at the forefront of advancements in the fields of Artificial Intelligence, Information Systems, and Software Engineering since its inception in 1991. With a commitment to disseminating high-quality research, the journal has been recognized in the 2023 category quartiles as Q3 in these critical areas, reflecting its relevance and impact in the academic community. The journal serves as a vital platform for researchers, professionals, and students interested in the evolving landscape of intelligent systems, offering insights into innovative methodologies and applications. As an open access publication since 2020, it ensures that research is readily available to a global audience, fostering collaboration and engagement within the scientific community. With a Scopus rank in the 65th to 69th percentiles across its categories, The Journal of Intelligent Systems continues to contribute significantly to the discourse on intelligent technologies and their implications for the future.

International Journal of Machine Learning and Cybernetics, published by SPRINGER HEIDELBERG, serves as a pivotal platform for scholars and practitioners in the fields of Artificial Intelligence, Computer Vision, and Software Engineering. With its impressive Q2 and Q1 rankings in esteemed categories such as Artificial Intelligence and Computer Vision and Pattern Recognition, this journal boasts a commendable reputation within the academic community, further solidified by its Scopus rankings that place it in the top percentiles of its category. This journal covers critical advancements and research trends spanning the years from 2010 to 2024, facilitating knowledge exchange that drives innovation in machine learning and cybernetics. Although it operates under a subscription model, it remains accessible for extensive readership, comprising researchers, professionals, and students eager to advance their understanding in this dynamic and rapidly evolving discipline. Stay at the forefront of technology by engaging with the latest findings and methodologies published in this influential journal, identified by its ISSN 1868-8071 and E-ISSN 1868-808X.

Acta Cybernetica, published by the University of Szeged, Faculty of Science, serves as a vital platform for researchers and practitioners in the fields of computational theory, computer science, and engineering. With an ISSN and E-ISSN of 0324-721X, this Hungarian journal has been disseminating valuable research since 1990 and is projected to continue through 2024. Although it currently holds a Q4 ranking in multiple categories—including computational theory, computer vision, and theoretical computer science—its impact lies in fostering innovative research discussions and multidisciplinary collaborations. Scholars in its specialized fields will find a wealth of insights that contribute to emerging trends and developments. While Acta Cybernetica is not an open-access journal, it remains an essential resource for advancing knowledge and practices within its academic community.

The Journal of Computational Design and Engineering, published by Oxford University Press, is a premier open-access journal dedicated to advancing the field of computational science, technology, and engineering. With an E-ISSN of 2288-5048 and having transitioned to open access in 2015, this journal fosters a wide-reaching dissemination of high-quality research and innovative methodologies pertinent to computational mathematics, mechanics, modeling, and simulation. Notably recognized within the academic community, the journal boasts impressive rankings, including Q1 in Computational Mechanics and Computer Graphics, underscoring its significance in these fields. With a broad scope that appeals to researchers, professionals, and students alike, the Journal of Computational Design and Engineering plays a vital role in stimulating discussions on the intersection of computation and design, providing a platform for the latest advancements that shape engineering practices globally. As we look forward to its continued publication until 2024, the journal stands as a crucial resource for those aiming to push the boundaries of knowledge in computational engineering disciplines.

SOFTWARE-PRACTICE & EXPERIENCE, published by Wiley, is a prestigious journal that has significantly contributed to the field of software engineering since its inception in 1971. With a Q2 ranking in Software according to the 2023 category quartiles, it stands among the top tier of journals, positioned in the 79th percentile within Scopus’s Computer Science _ Software category. The journal focuses on disseminating high-quality research that reflects both academic rigour and practical application in software-related practices, ensuring that it remains relevant for researchers, professionals, and students alike. Although it does not currently offer Open Access options, it continues to provide invaluable insights and thorough explorations of contemporary issues in software development, methodology, and experience. As it converges toward 2024, SOFTWARE-PRACTICE & EXPERIENCE aims to foster a greater understanding of effective software practices in a rapidly evolving technological landscape.

Computer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.

KNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.

International Journal of Software Science and Computational Intelligence (IJSSCI) is a prominent academic journal published by IGI Global, dedicated to advancing the fields of software science and computational intelligence. With its ISSN 1942-9045 and E-ISSN 1942-9037, IJSSCI offers a platform for researchers, practitioners, and students to disseminate innovative research findings, theoretical advancements, and practical applications in areas such as algorithm development, machine learning, and software engineering. Although the journal currently does not operate under an open access model, its rigorous peer-review process ensures high-quality publications that contribute significantly to the academic discourse. Based in Hershey, PA, IJSSCI is recognized for its commitment to fostering collaboration among professionals in the technology and computer science fields, making it an essential resource for those looking to stay at the forefront of software science advancements.

The INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, published by WORLD SCIENTIFIC PUBL CO PTE LTD in Singapore, is a pivotal platform for disseminating cutting-edge research in the fields of software engineering and knowledge systems. With an ISSN of 0218-1940 and an E-ISSN of 1793-6403, this journal has been a reliable resource for scholars and practitioners since its inception in 1996. The journal is indexed across multiple prestigious databases, reflecting its relevance with a Category Quartile ranking of Q3 in both Computer Graphics and Computer Networks for 2023, and it maintains a steady trajectory of growth and scholarly contribution. Although not an Open Access journal, it is accessible through various academic institutions and libraries, ensuring researchers can engage with high-quality, peer-reviewed articles that explore advancements, theoretical developments, and practical applications in software and knowledge engineering. As it converges towards its end year of 2024, this journal continues to foster innovation and knowledge exchange, making it an essential resource for anyone invested in these dynamic fields.

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.