IEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.

The Journal of Electrical Systems is a prominent Open Access journal published by the ENGINEERING & SCIENTIFIC RESEARCH GROUPS since 2005, dedicated to presenting valuable research in the realms of Electrical and Electronic Engineering as well as Computer Science. With an ISSN of 1112-5209 and an E-ISSN of 1112-5209, this journal seeks to foster innovation and share knowledge among researchers and practitioners operating in these critical fields. Operating out of Paris, France, the journal has made significant strides despite recent categorizations placing it in the Q4 quartile of Computer Science and Electrical and Electronic Engineering. Its ongoing commitment to disseminating impactful findings is underscored by its open accessibility, enabling a wider audience to engage with research that spans various interdisciplinary applications. The journal continuously invites contributions that enhance our understanding of electrical systems, empowering stakeholders at all levels to push the boundaries of technology and engineering.

Robotic Intelligence and Automation is a pioneering academic journal dedicated to the exploration and advancement of knowledge within the realms of robotics, artificial intelligence, and automation technologies. Published by EMERALD GROUP PUBLISHING LTD in the United Kingdom, this journal serves as a critical platform for researchers, professionals, and students who strive to understand and innovate in these rapidly evolving fields. With an impressive visibility across multiple disciplines, it has achieved a respectable Q2 ranking in Computer Science Applications, Control and Systems Engineering, Electrical and Electronic Engineering, and Industrial and Manufacturing Engineering, while also being recognized in Q3 for Artificial Intelligence and Human-Computer Interaction. The journal boasts a comprehensive Open Access model, allowing broad dissemination of research findings, which is vital for fostering collaboration and learning within the scientific community. Researchers can look forward to contributing to a publication that not only addresses current challenges but also seeks to shape the future of intelligent automation and robotics.

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.

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 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.

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.

JOURNAL OF COMPUTATIONAL NEUROSCIENCE, published by Springer, stands at the intersection of cutting-edge technology and neuroscience research, offering a platform for scholars and practitioners to disseminate advancements in the computational modeling of neural systems. With an ISSN of 0929-5313 and E-ISSN 1573-6873, this esteemed journal has been fostering scientific dialogues since its inception in 1994, continuing to evolve through 2024. Although it currently holds a Q4 ranking in the categories of Cellular and Molecular Neuroscience, Cognitive Neuroscience, and Sensory Systems, it remains dedicated to enhancing its visibility and impact within the field. While the journal is not Open Access, it remains accessible to subscribers and institutions across the globe. By providing a conduit for innovative research and insights, the JOURNAL OF COMPUTATIONAL NEUROSCIENCE serves as an indispensable resource for researchers, professionals, and students keen on pushing the boundaries of understanding in neural computation and systems.

SOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.

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!