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.

Machine Learning-Science and Technology is a premier open-access journal published by IOP Publishing Ltd, dedicated to advancing the field of artificial intelligence, human-computer interaction, and software development. Since its inception in 2020, this innovative journal has established itself as a critical resource for researchers, professionals, and students alike, achieving a commendable Q1 ranking across multiple categories in 2023. With an impressive Scopus ranking—#70 out of 407 in Computer Science Software, #26 out of 145 in Human-Computer Interaction, and #73 out of 350 in Artificial Intelligence—it provides a platform for cutting-edge research and significant advancements in machine learning technologies. Accessibility as an open-access journal since its launch ensures that the latest findings are freely available to a broader audience, fostering collaboration and knowledge-sharing within the scientific community. The journal aims to cover a wide spectrum of topics within its scope, encouraging submissions that push the boundaries of what is possible in machine learning applications. By fostering an environment of innovation, Machine Learning-Science and Technology stands at the forefront of this rapidly evolving field, shaping the future of technology and its interaction with society.

Frontiers in Artificial Intelligence, published by FRONTIERS MEDIA SA, is a pioneering open-access journal that commenced in 2018, dedicated to advancing the multifaceted field of artificial intelligence. With an impressive Q2 ranking in the category of Artificial Intelligence, it occupies a significant position within the academic community, offering a platform for high-quality, peer-reviewed research. The journal's comprehensive scope encompasses a variety of subfields, including machine learning, robotics, and human-computer interaction, making it an invaluable resource for researchers, professionals, and students alike. As an open-access journal since 2019, it ensures that cutting-edge research is readily available to a global audience, facilitating knowledge sharing and collaboration. With its headquarters in Switzerland and a commitment to scholarly excellence, Frontiers in Artificial Intelligence is at the forefront of the scientific discourse, empowering the next generation of innovations in AI.

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

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.

Software Impacts is an esteemed academic journal published by ELSEVIER, dedicated to advancing the field of software science and informing best practices in development and application. With an ISSN of 2665-9638, this journal facilitates the dissemination of impactful research from 2019 to 2024, making it a valuable resource for both established researchers and promising students alike. Although it currently holds a Q3 ranking in the category of Software and ranks at #270/407 in Scopus, it continues to contribute significantly to the discourse surrounding software-related innovations and methodologies. The journal’s open access policy enhances accessibility and encourages a broader readership, fostering an environment where critical discussions flourish. By addressing the ongoing challenges and advancements in software technology, Software Impacts plays a crucial role in shaping the future of software development and its applications globally.

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.

Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.

AI COMMUNICATIONS is a distinguished journal published by IOS PRESS, focusing on the dynamic field of Artificial Intelligence. With a rich history dating back to 1987, this journal covers a broad spectrum of topics, including the latest advancements in AI methodologies, applications, and implications for society. Despite holding a Q3 classification in the 2023 category of Artificial Intelligence, it provides an essential platform for dialogue and dissemination of research, highlighted by its global accessibility in the realm of AI communications. Researchers, professionals, and students alike will find a wealth of knowledge within its pages, which aim to bridge the gap between cutting-edge research and practical applications in AI. By contributing to this journal, authors have the potential to engage with a diverse audience and impact the ongoing discourse surrounding artificial intelligence technologies.

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.