NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

The Journal of Computational Science, published by Elsevier, is a premier academic journal that serves as a vital platform for researchers and professionals in the fields of computer science, modeling, and simulation. With an ISSN of 1877-7503 and an E-ISSN of 1877-7511, this journal focuses on the latest advances in computational methodologies and their applications, fostering interdisciplinary dialogue and collaboration. As of 2023, it holds an impressive Q2 ranking in multiple categories, including Computer Science (miscellaneous), Modeling and Simulation, and Theoretical Computer Science, showcasing its relevance and impact within the scholarly community. The journal features comprehensive research articles, reviews, and case studies that contribute significantly to the understanding and development of computational techniques. With its high standing in Scopus rankings, including a 79th percentile ranking in Mathematics - Modeling and Simulation, the Journal of Computational Science is an essential resource for anyone seeking to advance their knowledge and research in this dynamic field.

International Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.

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!

Evolving Systems, an esteemed journal published by Springer Heidelberg, focuses on advancing the interdisciplinary field of evolving systems, encompassing areas such as computer science applications, control and optimization, control and systems engineering, and modeling and simulation. Since its inception in 2010, the journal has made significant contributions to the academic community, currently holding a commendable Q2 ranking across multiple categories for the year 2023. With an impactful focus on the dynamic behaviors of systems and their adaptive methodologies, Evolving Systems serves as a crucial platform for researchers, professionals, and students aiming to explore and expand the boundaries of system evolution. Despite being a subscription-based journal, it remains committed to fostering high-quality research dissemination and encourages submissions that push the envelope of knowledge in this rapidly developing field. The journal employs a rigorous peer-review process, ensuring the publication of cutting-edge research that meets the highest scholarly standards.

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.

KNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.

Frontiers in Robotics and AI is a leading journal dedicated to the exploration and dissemination of groundbreaking research in the fields of robotics and artificial intelligence. Published by FRONTIERS MEDIA SA in Switzerland, it has established itself as a vital resource for academics, professionals, and students since its inception in 2014. With an impressive Open Access model, the journal ensures that high-quality research is accessible to a global audience, fostering collaboration and innovation. The journal is recognized for its distinguished impact in the academic community, achieving Q2 quartile rankings in both Artificial Intelligence and Computer Science Applications as of 2023. It currently holds a solid position in Scopus rankings, with a rank of #123 out of 350 in Artificial Intelligence and #223 out of 817 in Computer Science Applications, reflecting its robust contribution to these dynamic disciplines. The journal's scope encompasses a wide range of topics, including but not limited to autonomous systems, machine learning, and human-robot interaction, making it an essential platform for innovative ideas and advanced research.

APPLIED ARTIFICIAL INTELLIGENCE, an esteemed journal published by Taylor & Francis Inc, serves as a vital platform for sharing groundbreaking research and advancements in the field of artificial intelligence. With an E-ISSN of 1087-6545, this Open Access journal since 2022, offers scholars the opportunity to disseminate their findings widely, increasing visibility and accessibility in the academic community. With a history dating back to 1987, the journal features a compelling Q3 category ranking in Artificial Intelligence and holds respectable placement in Scopus rankings, emphasizing its relevance and contribution to both Electrical and Electronic Engineering and Computer Science. Targeted at researchers, industry professionals, and students, APPLIED ARTIFICIAL INTELLIGENCE is dedicated to promoting innovation and fostering dialogue on the practical applications of AI technologies, making it an indispensable resource for anyone striving to advance their knowledge and expertise in this rapidly evolving domain.