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.

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.

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.

Open Computer Science is a premier scholarly journal published by DE GRUYTER POLAND SP Z O O, dedicated to fostering innovative research and discussions in the rapidly evolving field of computer science. With an impact factor that places it in Q2 of the computer science (miscellaneous) category, as well as a commendable Scopus ranking of #80 out of 232 and a 65th percentile standing, this journal serves as a critical resource for researchers, professionals, and students alike. Since its inception in 2011 and having embraced the open access model, Open Computer Science promotes the dissemination of knowledge across a global audience, ensuring that cutting-edge research is accessible to all. By covering a broad range of topics within the realm of computer science, this journal is committed to advancing the discipline’s theoretical and practical boundaries. The journal is published in Germany and features robust editorial standards, ensuring the inclusion of high-quality, peer-reviewed articles that contribute significantly to the field.

PROGRAMMING AND COMPUTER SOFTWARE is a distinguished journal committed to advancing the field of software development and programming methodologies. Published by PLEIADES PUBLISHING INC, this journal has been a valuable resource since its inception in 1978, reaching out to researchers, professionals, and students alike. With an emphasis on rigorous peer-reviewed articles, the journal holds a Q3 ranking in the realm of Software according to the latest 2023 Category Quartiles. Though it does not offer open access, the journal ensures that high-quality research is disseminated to its audience, providing insights into evolving programming techniques, software engineering challenges, and innovative solutions. With its convergence of years extending to 2024, PROGRAMMING AND COMPUTER SOFTWARE remains a pivotal publication, fostering a deeper understanding of the complexities in computer programming while supporting the broader software community.

Imaging Science Journal, published by Taylor & Francis Ltd, serves as a vital resource for researchers and professionals in the fields of computer vision, pattern recognition, and media technology. With an ISSN of 1368-2199 and an E-ISSN of 1743-131X, this journal has been fostering scholarly dialogue since its inception in 1997, with a converged content offering extending through 2024. Its categorization in Quartile 4 in Computer Vision and Pattern Recognition and Quartile 3 in Media Technology highlights its relevance and contributions to emerging trends in these domains. Although it ranks 36th in the Engineering - Media Technology category and 96th in Computer Science - Computer Vision and Pattern Recognition, its innovative research and insights continue to attract the attention of scholars dedicated to advancing knowledge at the intersection of imaging technologies. Offering versatile access options, this journal is essential for students, researchers, and professionals aiming to stay informed and engaged in the rapidly evolving landscape of imaging science.

The Journal of Advanced Computational Intelligence and Intelligent Informatics, published by FUJI TECHNOLOGY PRESS LTD, stands as a pivotal platform in the fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 1997, this Open Access journal has been providing accessible insights into the latest advancements in computational intelligence and informatics since 2007. With its ISSN 1343-0130 and E-ISSN 1883-8014, this journal invites a diverse readership, including researchers, professionals, and students eager to explore innovative methodologies and applications. Despite its current Q4 ranking in the relevant categories, the journal remains committed to contributing valuable knowledge to the academic community and enhancing the global discourse in computational technologies. With its focus on fostering communication and collaboration among scholars, the journal plays an essential role in driving forward the understanding of intelligent systems and their applications in various domains.

NEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.

OPTICAL MEMORY AND NEURAL NETWORKS is a premier academic journal dedicated to advancing the fields of optical memory technologies and neural network applications. Published by SpringerNature in the United States, this interdisciplinary journal serves as an essential platform for researchers and professionals to disseminate findings and insights that bridge the gap between computer science, electrical engineering, and materials science. With an ISSN of 1060-992X and an E-ISSN of 1934-7898, it encompasses a wide range of innovative topics across its scope, which includes but is not limited to optical storage methods, neural network modelling, and the interaction of light with electronic materials. Though currently categorized in the Q4 tier across multiple relevant disciplines—such as computer science and electrical engineering—its commitment to quality research aims to enhance its standing in the academic community by 2024. Through rigorous peer review and an emphasis on novel contributions, this journal not only encourages exploration and development in emerging areas of technology but also seeks to support the educational needs of students and practitioners alike, fostering a collaborative environment for scientific advancement.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.