NEURAL NETWORKS, an esteemed journal with the ISSN 0893-6080 and E-ISSN 1879-2782, is published by Pergamon-Elsevier Science Ltd in the United Kingdom. This influential journal, established in 1988 and continuing its publication through 2024, is recognized for its significant contributions to the fields of Artificial Intelligence and Cognitive Neuroscience, ranking in the Q1 category in both disciplines as of 2023. With a strong Scopus rank of #4/115 in Cognitive Neuroscience and #35/350 in Artificial Intelligence, and a commendable percentile of 96th and 90th respectively, NEURAL NETWORKS stands at the forefront of academic research. Researchers, professionals, and students can benefit from the journal's rigorous peer-review process and the dissemination of groundbreaking findings that shape understanding in artificial intelligence methodologies and their cognitive applications. While the journal currently operates under traditional access options, it serves as a vital resource in fostering innovations and cross-disciplinary collaboration.

Quantum Machine Intelligence is a leading academic journal published by Springer Nature, focusing on the rapidly evolving intersection of quantum computing and artificial intelligence. With an impressive impact factor reflected in its prestigious ranking in various categories—Q1 in Applied Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science, alongside Q2 in Artificial Intelligence and Software—this journal serves as a vital platform for disseminating innovative research from 2019 to 2024. Researchers, professionals, and students are encouraged to engage with the journal’s content, which features high-quality peer-reviewed articles that explore theoretical foundations and practical applications of quantum technologies in machine intelligence. Although the journal operates under traditional subscription models, it is committed to advancing open academic discourse and accessibility in the digital age. With Scopus rankings that place it among the top echelons of its fields, the journal is an essential resource for anyone interested in the transformative potential of quantum algorithms and AI.

Foundations and Trends in Machine Learning is a premier academic journal published by NOW PUBLISHERS INC, specializing in the cutting-edge fields of artificial intelligence, human-computer interaction, and software engineering. Since its inception in 2008, this journal has established a formidable reputation, attaining a Q1 ranking in 2023 across all three categories in the Scopus index, confirming its place among the elite publications in these disciplines. With an exceptional impact reflected in its standing as the top-ranked journal in Computer Science for both Software and Artificial Intelligence, researchers and practitioners alike turn to this resource for in-depth reviews and foundational insights that drive progress in the rapidly evolving landscape of machine learning. While currently operating under traditional access options, the journal invites a diverse audience, including students, researchers, and industry professionals, to deepen their understanding and contribute to knowledge in this dynamic area of study.

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

The International Journal of Neural Systems, published by World Scientific Publishing Co Pte Ltd, is a prestigious peer-reviewed journal dedicated to the dynamic field of neural systems research. With an ISSN of 0129-0657 and an E-ISSN of 1793-6462, this journal serves as a vital resource for researchers, professionals, and students interested in the intersections of computer science, neural networks, and communications. Noteworthy for its impact, the journal has achieved impressive rankings in 2023, positioned in the Q1 quartile for both Computer Networks and Communications as well as in the miscellaneous category of Medicine, highlighting its interdisciplinary significance and broad relevance. The journal's Scopus rank places it at #33 out of 395 in its category, reflecting its influence and reach within the academic community. While the journal is not open access, its contributions to advancing the understanding of neural systems are invaluable, offering a platform for disseminating cutting-edge research and fostering collaboration among scholars. Since its inception, the International Journal of Neural Systems remains committed to excellence and innovation in its published content, making it an essential subscription for everyone involved in this exciting and rapidly evolving field.

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 Membrane Computing is an esteemed academic journal published by SpringerNature, focused on the innovative intersection of applied mathematics and computational theory. With an ISSN of 2523-8906 and an E-ISSN of 2523-8914, this journal plays a pivotal role in advancing the field, currently holding a commendable Q2 category rank in both applied mathematics and computational theory as of 2023. Its prestigious positioning—ranked #80 out of 635 in Applied Mathematics and #37 out of 176 in Computational Theory—places it in the top percentiles, reflecting its significant contributions to the discourse within these domains. Operating from Germany, the journal serves as a vital resource for researchers, professionals, and students, seeking to explore new theoretical frameworks and applications in membrane computing. With a focus on open access, it ensures that groundbreaking research is accessible to a broad audience, enhancing collaboration and innovation across disciplines. Founded in 2019, the journal continues to thrive until 2024, solidifying its position as a preeminent platform for the exchange of ideas and advancements in its field.

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.

International Journal of Automation and Computing, published by SPRINGERNATURE, is a premier academic journal dedicated to advancing knowledge in the fields of applied mathematics, computer science applications, control and systems engineering, and modeling and simulation. With an impressive impact factor and consistently ranked in the Q1 Quartile for its respective categories in 2023, the journal is recognized for its high-quality research and contributions to the automation and computing sectors. This journal provides open access to its articles, promoting the dissemination of innovative ideas and methodologies across a global audience. Based in China but serving an international community, the journal is key for researchers, professionals, and students looking to stay at the forefront of automation and computing technologies. Its rigorous peer-review process ensures that published works meet the highest scientific standards, making it an essential resource for those seeking to deepen their understanding and engage in cutting-edge research.

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.