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.

Evolutionary Intelligence is a prestigious journal published by Springer Heidelberg, dedicated to the interdisciplinary study of Artificial Intelligence, Cognitive Neuroscience, Computer Vision, and Mathematics. With its ISSN 1864-5909 and E-ISSN 1864-5917, the journal has established a significant presence in the academic community since its inception in 2008. Spanning a diverse range of topics relevant to both theoretical and empirical research, it has achieved impressive rankings, including Q3 in Artificial Intelligence and Cognitive Neuroscience, and Q2 in Computer Vision and Pattern Recognition as of 2023. With a strong Scopus ranking that places it in the top quartiles of its field, Evolutionary Intelligence serves as an essential platform for scholars and practitioners seeking to advance knowledge and foster innovation in these dynamic fields. Researchers, professionals, and students alike will find invaluable insights and cutting-edge findings that challenge existing paradigms and inspire future explorations in intelligence-related studies.

NEURAL COMPUTATION, published by MIT PRESS, is a leading academic journal that focuses on the interdisciplinary field of neural computing, combining insights from artificial intelligence, cognitive neuroscience, and computational modeling. With an impressive impact factor and consistently high rankings—being positioned in the Q1 category of Arts and Humanities and Q2 in Cognitive Neuroscience—this journal serves as a vital resource for researchers and professionals interested in understanding the complex interactions between neural processes and computational systems. Founded in 1995 and continuing through its converged years until 2024, NEURAL COMPUTATION publishes cutting-edge articles that advance theoretical knowledge and practical applications in both fields. While it does not provide open access, the journal ensures rigorous peer-review processes, making it an essential platform for disseminating significant research findings. With its commitment to fostering innovation and understanding at the intersection of neuroscience and computation, NEURAL COMPUTATION stands out as a cornerstone for academic exploration and discovery.

Computation, published by MDPI, is an esteemed open-access journal that has been contributing to the fields of applied mathematics and computer science since its inception in 2013. With an E-ISSN of 2079-3197, this Swiss-based journal operates under a philosophy of free knowledge dissemination, allowing researchers, professionals, and students globally to access high-quality content without financial barriers. Recognized for its rigorous peer-review process, Computation is currently categorized in the Q2 and Q3 quartiles across significant domains, including Applied Mathematics (#181/635), Theoretical Computer Science (#52/130), and Modeling and Simulation (#138/324). As it converges towards 2024, the journal continues to attract innovative and impactful research aimed at advancing theoretical frameworks and practical applications within these disciplines. Joining the Computation community not only enriches individual research portfolios but also contributes to the broader conversation on computational methodologies and their applications in solving real-world problems.

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.

COMPUTATIONAL INTELLIGENCE is a prestigious, peer-reviewed journal published by Wiley, dedicated to advancing the field of artificial intelligence and computational mathematics since its inception in 1985. With an impressive track record reflected in its Q2 ranking in both the Artificial Intelligence and Computational Mathematics categories for 2023, this journal is a leading resource for researchers, professionals, and students seeking to explore cutting-edge methodologies, theories, and applications that underpin computational intelligence. The journal is indexed in Scopus, holding a remarkable rank of 18/189 in Computational Mathematics, placing it in the top 10% of its field, and ranks 111/350 in Artificial Intelligence. Although it does not offer open access, articles are readily accessible for institutions, ensuring a wide outreach within the academic community. With its commitment to fostering innovation and critical thought, COMPUTATIONAL INTELLIGENCE continues to be an essential platform for disseminating high-quality research that shapes the future of technology and mathematics.

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.

The International Journal of Computational Intelligence and Applications, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a prominent journal dedicated to advancing the field of computational intelligence and its applications, with a keen focus on innovative methodologies and theoretical frameworks. With an impact factor reflective of its growing influence, the journal is classified in Q3 for Computer Science Applications and holds Q4 standings in both Software and Theoretical Computer Science as of 2023, showcasing its critical niche within these disciplines. Established in 2008 and converging through 2024, this journal serves as a vital resource for researchers, professionals, and students in Singapore and beyond, promoting scholarly communication and collaboration. Although it is a non-open access journal, it still provides a wealth of information that is readily accessible through institutional subscriptions and library resources. Researchers contributing to the journal benefit from its wide reach and dedicated readership, making it a substantial platform to disseminate groundbreaking research and insights.

The Journal of Experimental & Theoretical Artificial Intelligence, published by Taylor & Francis Ltd, serves as a premier platform for researchers and professionals interested in advancing the fields of artificial intelligence, software engineering, and theoretical computer science. Established in 1989, this peer-reviewed journal features original research and comprehensive reviews that explore innovative methodologies and emerging trends within these dynamic domains. With an impact factor that reflects its relevance, the journal currently ranks in Q3 across its categories, affirming its contributions to the scholarly community. The journal's commitment to quality and rigor invites submissions that bridge experimental and theoretical frameworks, thus fostering a deeper understanding of AI's applications and implications. Researchers and students can access insightful articles that drive critical discussions and inspire future work, making this journal an essential resource for anyone looking to delve into the complexities of artificial intelligence and its surrounding disciplines.

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.