Künstliche Intelligenz is a premier journal dedicated to the field of Artificial Intelligence, published by Springer Heidelberg in Switzerland. With an ISSN of 0933-1875 and an E-ISSN of 1610-1987, this journal serves as a vital platform for the dissemination of cutting-edge research and innovations in AI. Recognized within the Scopus ranking as #78 out of 350 in the category of Computer Science _ Artificial Intelligence, it holds a significant place within the academic community, reflecting a 77th percentile standing in its field. The journal operates in a traditional publishing model, offering a comprehensive scope that spans major advancements and theoretical explorations in AI from 2010 to 2024. As a Q3 journal within its category for 2023, Künstliche Intelligenz is poised to foster critical dialogue and collaboration among researchers, practitioners, and students, making it an essential resource for anyone looking to stay abreast of the transformative developments in artificial intelligence.

Progress in Artificial Intelligence is a leading journal published by SpringerNature, dedicated to advancing knowledge and research in the field of artificial intelligence. With a strong emphasis on the latest developments from 2012 through 2024, this journal enjoys a prominent position, holding a Q2 ranking in the prestigious Artificial Intelligence category for 2023, as well as achieving an impressive ranking of 64 out of 350 in the Computer Science - Artificial Intelligence category on Scopus, placing it in the 81st percentile. Progress in Artificial Intelligence serves as an essential platform for researchers, professionals, and students seeking to share innovative algorithms, applications, and theoretical advancements. Although it operates under a subscription model, its commitment to disseminating high-quality research and fostering collaboration in the AI community significantly contributes to the ongoing evolution of this exciting discipline.

MACHINE LEARNING is a premier academic journal published by SPRINGER, dedicated to advancing the field of artificial intelligence and software engineering. Established in 1986, this journal has consistently showcased pioneering research and innovative methodologies that facilitate the understanding and application of machine learning techniques across various domains. With an impressive impact factor reflecting its high-quality publications, it is classified within the top quartile (Q1) in both Artificial Intelligence and Software categories as of 2023, underscoring its critical role in these fields. The journal boasts significant Scopus rankings, placing it at the 45th and 54th positions, respectively, in Computer Science - Software and Computer Science - Artificial Intelligence, further validating its stature as a vital resource for researchers, professionals, and students alike. While not an open-access journal, MACHINE LEARNING ensures that its comprehensive peer-reviewed articles are widely circulated, fostering academic dialogue and innovation. The journal continues to be a go-to platform for cutting-edge research, providing invaluable insights and contributions that drive the future of machine learning.

Cognitive Systems Research, published by ELSEVIER, is a prestigious journal dedicated to advancing the field of cognitive systems, a dynamic intersection of Artificial Intelligence, Cognitive Neuroscience, and Experimental Psychology. With an impressive impact factor and ranked in the Q2 category across multiple disciplines, this journal is recognized for its contribution to fundamental and applied research, making it an essential resource for researchers, professionals, and students alike. The journal's scope encompasses innovative studies that push the boundaries of how cognitive processes are understood and simulated within computational frameworks. With a commitment to fostering open science, articles are made readily accessible, promoting the rapid dissemination of knowledge. As the field evolves from 1999 to 2024, Cognitive Systems Research stands as a pivotal forum for the exploration and development of cognitive theories and systems, welcoming high-quality submissions that encourage interdisciplinary collaboration.

IEEE Internet Computing is a prominent journal in the field of computer networks and communications, published by the esteemed IEEE Computer Society. With an impressive impact factor and ranking in the Q1 category for 2023, it stands out as a vital resource for researchers, professionals, and students alike, seeking to delve into the latest advancements and trends in internet computing. Since its inception in 1997, the journal has provided a platform for pioneering studies and insightful discussions that bridge theory and practice in the rapidly evolving digital landscape. The journal is indexed with an excellent Scopus rank of #77 out of 395, placing it in the 80th percentile of its category, which underlines its relevance and influence in the academic community. While it currently does not offer Open Access options, its rich archive of scholarly articles remains accessible to those affiliated with research institutions and libraries. Furthermore, the journal's comprehensive coverage continues through 2024, ensuring it remains at the forefront of the discipline.

ACM Transactions on Interactive Intelligent Systems is a distinguished journal published by the Association for Computing Machinery (ACM), specializing in the realms of Artificial Intelligence and Human-Computer Interaction. With an impactful presence in the academic community, it boasts a respectable Q2 quartile ranking in both fields as of 2023, highlighting its significant contributions to advancing interactive intelligent systems. The journal, identified by ISSN 2160-6455 and E-ISSN 2160-6463, encompasses a broad spectrum of research from theoretical advancements to practical implementations, offering invaluable insights for researchers, professionals, and students. The journal not only serves as a platform for innovative ideas and methodologies but also emphasizes the importance of interdisciplinary approaches in its publications. Positioned in the United States, at 1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434, it stands out for its commitment to quality, rigor, and relevance within the computing and interactive systems sectors.

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.

AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.

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.

ACM Transactions on Intelligent Systems and Technology, published by the Association for Computing Machinery (ACM), is a leading peer-reviewed journal dedicated to the rapid dissemination of innovative research in the fields of Artificial Intelligence and Theoretical Computer Science. With an impressive Impact Factor and a strong H-Index, it boasts a premier standing in the academic community, being ranked Q1 in both AI and Theoretical Computer Science categories as of 2023. This journal serves as a critical platform for researchers, professionals, and students aiming to contribute to and stay informed about the latest developments in intelligent systems and technology. While there are currently no open-access options, readers can explore invaluable insights into current trends and methodologies from 2010 to 2024, making it an essential resource for anyone passionate about advancing their knowledge in these rapidly evolving domains. The journal continues to foster collaboration and innovation, reflecting the forefront of research where technology intersects with intelligent systems.