NEUROCOMPUTING is a premier academic journal published by ELSEVIER, specializing in the interdisciplinary fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. With an impressive impact factor and a Q1 ranking in its relevant categories for 2023, NEUROCOMPUTING is recognized as a leader in fostering innovative research and providing a platform for ground-breaking studies. The journal’s scope covers the convergence of neural computation and artificial intelligence, making it essential reading for researchers and professionals seeking to explore the latest advancements and applications in these dynamic fields. For those interested in the cutting-edge intersection of neuroscience and computational techniques, NEUROCOMPUTING offers a wealth of knowledge that significantly contributes to both theoretical and practical advancements. The journal is dedicated to publishing high-quality, peer-reviewed articles and is an invaluable resource for students and established scholars alike, looking to stay at the forefront of research trends.

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.

ACM Transactions on Asian and Low-Resource Language Information Processing is a distinguished scholarly journal published by the Association for Computing Machinery (ACM), focusing on the processing of Asian and low-resource languages in the field of computer science. With an ISSN of 2375-4699 and an E-ISSN of 2375-4702, this journal serves as a vital platform for researchers and professionals dedicated to advancing language technology and natural language processing in underrepresented linguistic contexts. It has achieved a notable position in the academic community, ranking #94 out of 232 in the broader category of Computer Science with a 59th percentile ranking according to Scopus. As the journal converges on its comprehensive goals from 2015 to 2024, it emphasizes open debates and innovative methodologies to tackle challenges relevant to low-resource language processing. This commitment to publishing high-quality research, though it does not currently offer open access, ensures that the journal remains an essential resource for researchers, educators, and students striving to contribute to this dynamic field.

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 Journal of Healthcare Informatics Research, published by SPRINGERNATURE, serves as a premier platform for the dissemination of innovative research and insights at the intersection of healthcare and information technology. Established in 2017 and operating out of Switzerland, this journal covers a broad scope encompassing Artificial Intelligence, Computer Science Applications, Health Informatics, and Information Systems, achieving a Q1 ranking across these fields in 2023. Notably, it ranks impressively within Scopus, holding positions in the top percentages across various categories, including 12th in Health Informatics. With an unwavering commitment to fostering advancements in healthcare through informatics, this journal is designed for researchers, professionals, and students alike, providing open access to significant findings and methodologies that drive the future of health technology. As the field evolves, the Journal of Healthcare Informatics Research stands as a vital resource for those dedicated to improving patient outcomes and operational efficiencies through data-driven strategies.

COMPUTER SPEECH AND LANGUAGE, published by Academic Press Ltd - Elsevier Science Ltd, stands as a pivotal journal in the fields of Human-Computer Interaction, Software, and Theoretical Computer Science. With an esteemed Q2 ranking in Human-Computer Interaction and top-tier Q1 rankings in both Software and Theoretical Computer Science for 2023, this journal plays a critical role in disseminating innovative research and advancements in computational linguistics and interactive systems. Since its inception in 1986, it has become a sought-after platform for researchers, professionals, and students seeking to deepen their understanding of computer-aided speech processes and language technologies. The journal's comprehensive scope encompasses a wide range of interdisciplinary studies, fostering a collaborative research environment that explores the intersection of technology and human communication.

The International Journal of Semantic Computing is a premier scholarly publication focused on the intersection of artificial intelligence, computer networks, and linguistics, published by World Scientific Publishing Co PTE Ltd. Since its inception in 2007, this journal has strived to advance the field of semantic computing by promoting innovative research and interdisciplinary collaboration among professionals and academics. With a diverse scope that spans across various categories including Artificial Intelligence, Information Systems, and Linguistics, it boasts commendable rankings, particularly in the fields of Linguistics (77th Percentile) and Linguistics and Language (Rank #259/1167). The journal caters to a broad audience by offering critical insights and cutting-edge studies, thereby contributing significantly to knowledge enhancement in semantic technologies and computational linguistics. Although it does not offer open access options, its rigorous peer-review process ensures the publication of high-quality research that is invaluable for both researchers and students seeking to deepen their understanding in these rapidly evolving areas.

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.

Data Intelligence, published by MIT PRESS, is an influential open-access journal dedicated to advancing knowledge within the intersecting fields of Artificial Intelligence, Computer Science Applications, and Information Systems. Since its inception in 2019, it has rapidly established itself as a leading academic platform, achieving impressive rankings—including Q2 in its principal categories for 2023—demonstrating its impact and relevance in these dynamic fields. With an E-ISSN of 2641-435X, Data Intelligence aims to bridge theoretical research and practical applications, providing a venue for scholars and practitioners to disseminate innovative research and ideas. The journal's commitment to open access ensures that cutting-edge research is accessible to a broad audience, fostering collaboration and knowledge sharing among the global community of researchers, professionals, and students. Located in Cambridge, MA, Data Intelligence continues to pave the way for transformative insights in the realm of data-driven technologies through its rigorous peer-reviewed content and a wide array of interdisciplinary perspectives.

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.