Interdisciplinary Sciences-Computational Life Sciences, published by SPRINGER HEIDELBERG, is a premier journal dedicated to advancing the field of life sciences through the lens of computational methods. With an ISSN of 1913-2751 and an E-ISSN of 1867-1462, this journal serves as a significant platform for researchers and professionals alike, fostering innovation and collaboration across various disciplines. As a testament to its impact, the journal holds a Q2 category status in Biochemistry, Genetics and Molecular Biology, Computer Science Applications, and Health Informatics, reflecting its influential contributions and rigorous peer-review process. The Scopus rankings demonstrate its esteemed placement within its fields, with notable percentiles that highlight its relevance and reach. While the journal operates under a traditional access model, its commitment to publishing high-quality research continues to stimulate important discussions and developments within the scientific community. Founded in 2009 and converging through 2024, Interdisciplinary Sciences-Computational Life Sciences remains an essential resource for the latest discoveries at the intersection of computation and life sciences, appealing to both seasoned researchers and enthusiastic students eager to contribute to this dynamic field.

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.

Journal of Real-Time Image Processing, published by SPRINGER HEIDELBERG, is a renowned peer-reviewed journal dedicated to the field of real-time image processing. With an ISSN of 1861-8200 and an E-ISSN of 1861-8219, this journal operates under a rigorous academic framework, ensuring high-quality publications that cater to both theoretical and practical advancements in the discipline. Since its inception in 2006, it has continually evolved, maintaining a Q2 ranking in Information Systems according to the 2023 Category Quartiles. This journal ranks #103 out of 394 in Scopus for Computer Science - Information Systems, positioning it within the top 27% percentile, which underscores its significance in the research community. Its focus on the intersection of image processing and real-time applications makes it a vital resource for researchers, professionals, and students eager to explore and contribute to cutting-edge developments in the field. Though it does not currently offer open access, the journal's comprehensive scope and commitment to disseminating impactful research make it an essential platform for advancing knowledge in real-time image processing.

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.

NEURAL PROCESSING LETTERS, published by Springer, is a prestigious journal dedicated to the interdisciplinary fields of Artificial Intelligence, Computer Networks and Communications, Software Engineering, and Neuroscience. Established in 1994, the journal has built a solid reputation over the past decades, showcasing innovative research and developments that significantly contribute to the advancement of these dynamic areas. With a 2023 Scopus quartile ranking of Q2 in Artificial Intelligence and Computer Networks and Communications, and a Q3 ranking in Neuroscience, this journal occupies an important niche for professionals and researchers alike. The journal’s impact is further evidenced by its competitive Scopus ranks, positioning it within the top 60th percentile across its categories. Researchers looking for a platform to disseminate their findings in the intersection of technology and neuroscience will find NEURAL PROCESSING LETTERS an invaluable resource. For additional engagement and visibility, the journal supports various access options; however, it's important to note that it does not currently operate under an open access model. For submissions or queries, the journal can be reached at its headquarters in Dordrecht, Netherlands.

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

The International Journal of Unconventional Computing, published by OLD CITY PUBLISHING INC, is a pivotal platform for innovative research within the field of Computational Science. With a significant focus on unconventional computing methods, this journal aims to explore new paradigms and approaches that challenge traditional computational models. Launched in 2008 and running through 2024, it has established itself as a noteworthy publication in its domain, currently categorized in the Q3 quartile for Computer Science (miscellaneous). While it holds a Scopus rank of #143 out of 232 in General Computer Science, the journal continues to attract submissions from a diverse range of scholars—fostering a rich dialogue on cutting-edge developments. As an essential resource for researchers, students, and professionals eager to delve into pioneering computing techniques, this journal invites the global academic community to contribute and engage with its content. Access options vary, promoting flexibility for readers interested in exploring unconventional methodologies in computing.

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.

Neuromorphic Computing and Engineering, published by IOP Publishing Ltd, stands as a premier open-access journal dedicated to the interdisciplinary field of neuromorphic computing, which integrates principles of artificial intelligence and hardware architecture. Launched in 2021, this journal plays a pivotal role in addressing the surge of research in intelligent systems mimicking neurobiological architectures, thus fostering innovation across various disciplines, including electrical and electronic engineering and materials science. With an impressive Q1 ranking across multiple categories in 2023, including Artificial Intelligence and Hardware and Architecture, it attracts a global audience eager to explore cutting-edge developments. The journal is positioned to deliver high-impact research, evident by its Scopus rankings—particularly its notable standing in Electrical and Electronic Engineering (Rank #217/797) and Electronic, Optical and Magnetic Materials (Rank #80/284). Neuromorphic Computing and Engineering not only contributes to the academic discourse but also provides an accessible platform for researchers, professionals, and students to disseminate and discuss their findings, reflecting the critical advancements in this rapidly evolving domain.

The International Journal of Multimedia Information Retrieval, published by Springer, stands at the forefront of research dedicated to the dynamic fields of information systems, library and information sciences, and media technology. With an impressive impact factor reflected in its prestigious Q1 ranking across multiple categories in 2023, this journal serves as a critical resource for scholars and professionals aiming to explore the intersections of multimedia content and information retrieval systems. Established in 2012, the journal continues to advance knowledge through its rigorous peer-reviewed articles, which address contemporary challenges and innovative solutions in the digital information landscape. Researchers and practitioners alike can benefit from the insights presented within its pages, ensuring a lasting impact on both academic and applied facets of multimedia information retrieval. Located in the United Kingdom with access options available through traditional subscriptions, the journal welcomes contributions that push the boundaries of knowledge in this essential area of study.