Inteligencia Artificial-Iberoamerican Journal of Artificial Intelligence, published by the ASOC ESPANOLA INTELIGENCIA ARTIFICIAL, serves as a pivotal platform for disseminating cutting-edge research in the burgeoning fields of artificial intelligence and software development. Established in 1997 as an Open Access journal, it ensures broad accessibility to its scholarly content, thus fostering collaboration and knowledge exchange amongst researchers, professionals, and students across the globe. Based in Valencia, Spain, the journal currently operates within a significant timeline spanning from 2004 to 2010 and 2012 to 2024, enabling continual contributions to the academic discourse. Although it holds a Q4 quartile ranking in both the Artificial Intelligence and Software categories and a notable yet competitive Scopus ranking among its peers, the journal remains committed to advancing the understanding and application of sophisticated AI methodologies. As it continues to embrace innovative research, this journal stands as a crucial reference point for those keenly navigating the complexities of artificial intelligence in a rapidly evolving digital landscape.

The International Journal of Knowledge-Based and Intelligent Engineering Systems, published by IOS PRESS, serves as a vital platform for scholars and practitioners involved in the fields of Artificial Intelligence, Control and Systems Engineering, and Software Development. Founded in 2004 and continuously publishing through to 2024, this journal stands out with its comprehensive coverage of innovative methodologies and applications that leverage knowledge-based systems. Although currently listed in Q4 for Artificial Intelligence and Q3 for Control and Systems Engineering, it features an increasing trajectory in the scientific community, as indicated by its rankings in Scopus—which reflects the growing importance of intelligent engineering systems in contemporary research. With a commitment to disseminating cutting-edge research without open access constraints, this journal is essential for those seeking to understand and contribute to advancements in intelligent systems. Join a global community of researchers and industry leaders by engaging with the latest findings shared in this well-regarded journal.

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.

International Journal of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

The Journal of Experimental & Theoretical Artificial Intelligence, published by Taylor & Francis Ltd, serves as a premier platform for researchers and professionals interested in advancing the fields of artificial intelligence, software engineering, and theoretical computer science. Established in 1989, this peer-reviewed journal features original research and comprehensive reviews that explore innovative methodologies and emerging trends within these dynamic domains. With an impact factor that reflects its relevance, the journal currently ranks in Q3 across its categories, affirming its contributions to the scholarly community. The journal's commitment to quality and rigor invites submissions that bridge experimental and theoretical frameworks, thus fostering a deeper understanding of AI's applications and implications. Researchers and students can access insightful articles that drive critical discussions and inspire future work, making this journal an essential resource for anyone looking to delve into the complexities of artificial intelligence and its surrounding disciplines.

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 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.

AI MAGAZINE, published by the American Association for Artificial Intelligence, serves as a pivotal resource in the field of artificial intelligence. With an established history since 1984 and convergence periods highlighting its adaptability, the journal remains integral for sharing significant advancements and research findings. Housed in the United States, it provides a comprehensive platform for professionals, researchers, and students alike, delving into topics such as machine learning, natural language processing, and intelligent systems. Despite its current Q3 ranking in the Artificial Intelligence category, AI MAGAZINE sustains a significant impact through its diverse range of articles aimed at bridging the gap between theory and application. Although it is not an open-access journal, it continues to nurture a vibrant academic community, encouraging the exchange of knowledge and innovation in this rapidly evolving domain.

The ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, published by Springer, is a prominent journal dedicated to exploring the intersection between mathematics and artificial intelligence. With an ISSN of 1012-2443 and an E-ISSN of 1573-7470, this esteemed publication has been at the forefront of groundbreaking research since its inception in 1990, converging its focus to address emerging trends through 2024. Currently categorized in the Q3 quartile for both Applied Mathematics and Artificial Intelligence as of 2023, it holds respectable ranks within Scopus, positioning itself as a vital resource for scholars with a rank of #228 in Applied Mathematics and #217 in the realm of Artificial Intelligence. Notable for its commitment to advancing theoretical and applied methodologies, this journal serves as an indispensable platform for researchers, professionals, and students keen to deepen their understanding and innovate within these domains. Although it does not operate under an open-access model, the journal emphasizes rigorous peer-reviewed scholarship, ensuring that each published article contributes significantly to the global dialogue on number theory, machine learning, and their multifaceted applications.