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.

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.

ROBOMECH Journal, published by SpringerNature, is a prominent open-access journal dedicated to the fields of robotics, mechanical engineering, and artificial intelligence. Established in 2014, the journal has quickly established itself as a vital platform for disseminating innovative research in control and optimization, instrumentation, and modeling and simulation, earning a commendable Q2 ranking in Mechanical Engineering and multiple Q3 rankings across other relevant fields in 2023. With a commitment to facilitating accessible knowledge sharing, ROBOMECH Journal promotes cutting-edge research that drives advancements in both theoretical frameworks and practical applications within the robotics community. Scholars, engineers, and professionals seeking to contribute to or stay informed about the latest developments in these dynamic fields will find the journal's rich array of articles invaluable. With its open-access model, all published research is freely available, ensuring wide dissemination and increased visibility for authors, thus fostering collaboration and innovation across disciplines.

IEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.

MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.

Frontiers in Neurorobotics is a leading open access journal that bridges the fields of artificial intelligence and biomedical engineering, dedicated to advancing the understanding and application of neural mechanisms in robotics. Published by FRONTIERS MEDIA SA in Switzerland, this journal has been disseminating innovative research since its inception in 2007. With an aim to foster interdisciplinary collaboration and share cutting-edge findings, Frontiers in Neurorobotics holds a commendable position in the academic landscape, ranking in the Q2 category for both Artificial Intelligence and Biomedical Engineering as of 2023. Researchers will find it particularly valuable due to its broad scope, which encompasses everything from theoretical frameworks to practical applications in neurorobotics. The journal is committed to open access, ensuring that its contents are readily available to a global audience, thus enhancing visibility and engagement with trailblazing research in this dynamic field.

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.

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.

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.

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.