Open Computer Science is a premier scholarly journal published by DE GRUYTER POLAND SP Z O O, dedicated to fostering innovative research and discussions in the rapidly evolving field of computer science. With an impact factor that places it in Q2 of the computer science (miscellaneous) category, as well as a commendable Scopus ranking of #80 out of 232 and a 65th percentile standing, this journal serves as a critical resource for researchers, professionals, and students alike. Since its inception in 2011 and having embraced the open access model, Open Computer Science promotes the dissemination of knowledge across a global audience, ensuring that cutting-edge research is accessible to all. By covering a broad range of topics within the realm of computer science, this journal is committed to advancing the discipline’s theoretical and practical boundaries. The journal is published in Germany and features robust editorial standards, ensuring the inclusion of high-quality, peer-reviewed articles that contribute significantly to the field.

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.

Networks and Heterogeneous Media is a distinguished journal published by the American Institute of Mathematical Sciences (AIMS), focusing on the dynamic interplay of networks across various interdisciplinary fields including applied mathematics, computer science, and engineering. With a diverse and robust scope, the journal aims to facilitate the advancement of knowledge regarding complex systems and heterogeneous media through the publication of cutting-edge research. The journal has exhibited notable academic impact, currently positioned in Q2 and Q3 quartiles across several key categories such as applied mathematics, engineering, and statistics, indicating its relevance and influence within the scientific community. Researchers and professionals exploring intricate mathematical models, computational applications, and statistical methodologies will find Networks and Heterogeneous Media an invaluable resource for both foundational studies and innovative applications. The journal regularly publishes high-quality articles, contributing to emerging discussions and developments in a rapidly evolving field.

Grey Systems - Theory and Application is a premier journal dedicated to advancing the field of grey systems theory, which plays a pivotal role in addressing uncertainties in complex systems across various domains. Published by Emerald Group Publishing Ltd in the United Kingdom, this journal has established itself as a respected platform for innovative research, boasting a commendable 2023 impact factor reflected in its Q2 categorization in applied mathematics, computer science, and control systems engineering. With Scopus rankings placing it in the top tiers of its fields, it provides a robust forum for researchers, professionals, and students to explore theoretical developments and practical applications. The journal, which has been converged from 2011 to 2024, encourages open conversations on the theoretical underpinnings and real-world implications of grey systems, making it an essential resource for those looking to deepen their understanding and contribute meaningfully to this dynamic area of study.

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 Electrical and Computer Engineering is a premier open-access journal published by HINDAWI LTD, dedicated to advancing the fields of electrical and computer engineering. With an ISSN of 2090-0147 and an E-ISSN of 2090-0155, this journal has been providing a platform for cutting-edge research since its inception in 2007. Based in the United States, it operates from its address at ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND. The journal has established itself with a healthy impact factor, classified in the 2023 Q2 quartile for both Computer Science (Miscellaneous) and Electrical and Electronic Engineering, demonstrating its growing influence in the academic community. Additionally, its ranking positions it within the 67th percentile in General Computer Science and the 61st percentile in Electrical and Electronic Engineering on Scopus, indicating its significant contribution to these fields. Covering an extensive scope from 2010 to 2024, the journal seeks to publish innovative research articles, reviews, and case studies that explore new techniques and applications in electrical and computer engineering, benefiting a wide audience of researchers, professionals, and students focused on these rapidly-evolving areas.

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.

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.

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.

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.