Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

European Journal of Neuroscience is a prestigious, peer-reviewed journal published by Wiley, dedicated to advancing our understanding of the complex field of neuroscience. With an impact factor that positions it in the Q2 category of general neuroscience, this journal serves as a vital platform for researchers and professionals working at the intersection of biology, psychology, and medical science. Since its inception in 1989, the journal has been committed to publishing high-quality research that spans various topics within neuroscience, thus facilitating the exchange of innovative ideas and methodologies. Despite being a subscription-based journal, it attracts a diverse readership and has achieved significant recognition, evidenced by its Scopus rank of 33 out of 113 in its field, placing it in the 71st percentile. The European Journal of Neuroscience not only fosters groundbreaking studies but also encourages collaboration among scholars, making it an indispensable resource for students, researchers, and professionals eager to stay informed about the latest scientific advancements.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

PLoS Computational Biology is a premier open-access journal published by the Public Library of Science, committed to advancing the understanding of complex biological data through computational approaches. Since its inception in 2005, the journal has made significant strides in the fields of Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Ecology, Genetics, and Molecular Biology, achieving a notable Q1 ranking in various categories as of 2023. With an exceptional impact factor and an esteemed ranking—such as Rank #23/176 in Computational Theory and Mathematics—PLoS Computational Biology provides a vital platform for researchers, professionals, and students to disseminate their cutting-edge findings and insights. The journal's open-access model ensures that high-quality research is freely accessible worldwide, fostering collaboration and innovation across disciplines. Located in San Francisco, CA, it serves as a hub for the global scientific community, making it an indispensable resource for anyone at the forefront of computational biology and its diverse applications.

Network Neuroscience is a premier open-access journal published by MIT Press, focusing on the interdisciplinary nexus of neuroscience, applied mathematics, artificial intelligence, and computer science. Since its inception in 2017, the journal has established itself as a leading outlet for innovative research and cutting-edge methodologies, ensuring disseminated knowledge is freely accessible to all. With an impressive Q1 ranking in multiple categories including Applied Mathematics, Artificial Intelligence, Computer Science Applications, and Neuroscience, it serves as a vital platform for scholars, professionals, and students to explore the intricate networks that underpin cognitive processes and brain function. The journal is committed to advancing the understanding of complex neural mechanisms through interdisciplinary approaches and remains a crucial resource for anyone engaged in the burgeoning fields of network science and neuroscience research.

BIOLOGICAL CYBERNETICS is a premier journal published by SPRINGER, dedicated to advancing the fields of biotechnology and computer science through the lens of biological interactions. With an ISSN of 0340-1200 and an E-ISSN of 1432-0770, this esteemed journal has been a cornerstone of academic research since its inception in 1961 and is set to continue influencing the landscape of biological cybernetics through 2024. The journal currently holds a Q3 ranking in the Biotechnology category and a Q2 ranking in miscellaneous Computer Science according to the 2023 category quartiles, showcasing its credibility and impact in the interdisciplinary nexus of these fields. Although it does not provide open access options, researchers and students can engage with its innovative content that includes original research articles, reviews, and methodologies that explore the computational modeling of biological systems and the integration of artificial intelligence in biological research. With its strategic location in the United States and a robust publication record, BIOLOGICAL CYBERNETICS remains an essential resource for anyone looking to deepen their understanding and application of cybernetic principles within biological contexts.

Frontiers in Neuroinformatics is a prestigious open-access journal published by FRONTIERS MEDIA SA in Switzerland, dedicated to advancing the interdisciplinary field of neuroinformatics. Since its inception in 2007, the journal has played a crucial role in facilitating knowledge exchange among researchers and professionals, exploring the intersection of neuroscience, biomedical engineering, and computer science applications. With an impressive Q2 ranking in both Biomedical Engineering and Computer Science Applications, and a Q3 ranking in Neuroscience, the journal consistently showcases cutting-edge research and innovations that push the boundaries of our understanding of the brain and its computational models. Positioned prominently within the Scopus rankings, with a rank of #15/49 in Neuroscience (miscellaneous) and a 70th percentile standing, Frontiers in Neuroinformatics is essential reading for anyone engaged in this dynamic field. Researchers, students, and practitioners are encouraged to contribute to and leverage this accessible platform to foster collaboration and drive scientific progress.

NEURAL NETWORKS, an esteemed journal with the ISSN 0893-6080 and E-ISSN 1879-2782, is published by Pergamon-Elsevier Science Ltd in the United Kingdom. This influential journal, established in 1988 and continuing its publication through 2024, is recognized for its significant contributions to the fields of Artificial Intelligence and Cognitive Neuroscience, ranking in the Q1 category in both disciplines as of 2023. With a strong Scopus rank of #4/115 in Cognitive Neuroscience and #35/350 in Artificial Intelligence, and a commendable percentile of 96th and 90th respectively, NEURAL NETWORKS stands at the forefront of academic research. Researchers, professionals, and students can benefit from the journal's rigorous peer-review process and the dissemination of groundbreaking findings that shape understanding in artificial intelligence methodologies and their cognitive applications. While the journal currently operates under traditional access options, it serves as a vital resource in fostering innovations and cross-disciplinary collaboration.

Nonlinear Engineering - Modeling and Application is a premier journal dedicated to advancing the fields of engineering, modeling, and simulation, published by De Gruyter Poland Sp. z o.o. since 2012. With an impressive impact factor reflected in its prestigious rankings—Q2 in Chemical Engineering and Miscellaneous Engineering and Q3 in Computer Networks and Communications—this journal serves as an invaluable resource for researchers and practitioners seeking to explore the intricacies of nonlinear systems and their applications. As an Open Access journal since 2019, it ensures that groundbreaking research is readily available to the global community, fostering collaboration and innovation. Situated at the forefront of its field, Nonlinear Engineering provides high-quality, peer-reviewed articles that contribute to understanding complex phenomena in various engineering disciplines, making it an essential publication for those eager to stay on the cutting edge of technology and research.

THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS, published by SPRINGER, stands at the forefront of scientific discourse in the fields of fluid mechanics and computational methods. With an impressive impact factor reflecting its significance and reach, this journal has consistently maintained a Q1 ranking across multiple categories, including Computational Mechanics and Condensed Matter Physics as of 2023. Covering a rich scope of theoretical research and computational analysis, it aims to advance the understanding of fluid flow and transfer processes, making it an essential resource for researchers, professionals, and students alike. The journal, with its historical archive extending from 1989 to 2024, not only contributes to foundational theories but also integrates applied research and emerging computational techniques, thus facilitating innovation within the discipline. As a result, THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS serves as a crucial platform for disseminating impactful findings that shape future advancements in fluid dynamics research.