Swarm Intelligence, published by Springer, is a leading academic journal dedicated to the interdisciplinary field of artificial intelligence, with a strong focus on the principles and applications of swarm intelligence. Since its inception in 2008, the journal has encompassed innovative research contributions that explore complex adaptive systems modeled after the collective behavior of social organisms. Operating within the Q2 category of artificial intelligence, according to the 2023 category quartiles, this journal has attained a respectable Scopus rank of 141 out of 350, placing it in the 59th percentile of its field. Researchers and professionals benefit from a platform that fosters high-quality scholarly dialogue and develops theoretical frameworks essential for understanding collective intelligence mechanisms. With no open access option currently available, readers can find this journal in esteemed libraries and university repositories, ensuring that cutting-edge research continues to permeate through the academic community and beyond.

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

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.

International Journal of Swarm Intelligence Research, published by IGI Global, stands at the forefront of research in the dynamic field of artificial intelligence, focusing specifically on swarm intelligence and its applications. With an ISSN of 1947-9263 and an E-ISSN of 1947-9271, this journal has carved a niche within academia since its inception, boasting a commendable Q3 rank in the categories of Artificial Intelligence, Computational Theory and Mathematics, and Computer Science Applications as of 2023. The journal spans vital research from the years 2017 to 2024, fostering an environment that welcomes innovative studies that apply natural systems principles to computational methodologies. Although not classified as Open Access, the journal remains accessible to a broad audience, providing vital insights and fostering discussion among researchers, professionals, and students delving into cutting-edge swarm intelligence topics. As such, this journal is an essential resource for those aiming to advance their understanding and application of these transformative technologies.

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.

Mathematical Foundations of Computing, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been actively disseminating influential research in the fields of Artificial Intelligence, Computational Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science since its inception in 2009. With its E-ISSN 2577-8838, this journal is committed to providing researchers and practitioners with cutting-edge mathematical theories and methodologies that underpin modern computational practices, which is critical for advancing the field. The journal proudly holds a Q3 categorization in several relevant domains as of 2023, reflecting its contribution and accessibility amid an evolving academic landscape. By offering open access to its content, it ensures that vital research is freely available to a global audience, enhancing collaboration and innovation. Positioned in the heart of the United States, Mathematical Foundations of Computing serves as a crucial resource for advancing knowledge and fostering discussions among researchers, professionals, and students passionate about the mathematical underpinnings of computing.

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.

International Journal of Software Science and Computational Intelligence (IJSSCI) is a prominent academic journal published by IGI Global, dedicated to advancing the fields of software science and computational intelligence. With its ISSN 1942-9045 and E-ISSN 1942-9037, IJSSCI offers a platform for researchers, practitioners, and students to disseminate innovative research findings, theoretical advancements, and practical applications in areas such as algorithm development, machine learning, and software engineering. Although the journal currently does not operate under an open access model, its rigorous peer-review process ensures high-quality publications that contribute significantly to the academic discourse. Based in Hershey, PA, IJSSCI is recognized for its commitment to fostering collaboration among professionals in the technology and computer science fields, making it an essential resource for those looking to stay at the forefront of software science advancements.

Natural Computing is a leading peer-reviewed journal published by Springer, focusing on the interdisciplinary study of natural computation methods and their applications across various domains. With an ISSN of 1567-7818 and an E-ISSN of 1572-9796, this journal has established itself as vital in the field of Computer Science Applications, as reflected in its esteemed Q2 quartile ranking and a Scopus rank of #358 among 817 journals, placing it in the 56th percentile. Based in the Netherlands, Natural Computing covers a diverse range of topics, including computational models inspired by natural systems, evolutionary algorithms, and swarm intelligence. Seeking to bridge the gap between theoretical research and practical applications, this journal serves researchers, professionals, and students by providing insights and advancements in the field. With a commitment to fostering innovation, Natural Computing aims to push the boundaries of understanding in computational methods inspired by nature, making it an essential resource for those looking to contribute to and stay updated within this dynamic area.

International Journal of Bio-Inspired Computation, published by INDERSCIENCE ENTERPRISES LTD, is a leading platform dedicated to advancing research in the fields of bio-inspired computing and its applications. With a robust ISSN of 1758-0366 and E-ISSN of 1758-0374, this journal contributes significantly to the discourse in Computer Science, particularly emphasizing theoretical and practical frameworks that mirror natural processes. Situated in Switzerland, this peer-reviewed journal operates under a rigorous editorial process, ensuring high-quality publications that attract considerable attention, as evidenced by its placement in the Q2 category for 2023 in General Computer Science and Q3 in Theoretical Computer Science. With Scopus rankings reflecting its growing influence—ranked #62 out of 232 in General Computer Science and #36 out of 130 in Theoretical Computer Science—this journal invites researchers, professionals, and students to explore innovative methodologies and development in bio-inspired technologies. Although it currently does not adopt an open-access model, the journal remains committed to disseminating vital research that fuels advancements in computational intelligence, fostering collaboration and knowledge exchange in the ever-evolving landscape of computing.