JOURNAL OF COMPUTATIONAL NEUROSCIENCE, published by Springer, stands at the intersection of cutting-edge technology and neuroscience research, offering a platform for scholars and practitioners to disseminate advancements in the computational modeling of neural systems. With an ISSN of 0929-5313 and E-ISSN 1573-6873, this esteemed journal has been fostering scientific dialogues since its inception in 1994, continuing to evolve through 2024. Although it currently holds a Q4 ranking in the categories of Cellular and Molecular Neuroscience, Cognitive Neuroscience, and Sensory Systems, it remains dedicated to enhancing its visibility and impact within the field. While the journal is not Open Access, it remains accessible to subscribers and institutions across the globe. By providing a conduit for innovative research and insights, the JOURNAL OF COMPUTATIONAL NEUROSCIENCE serves as an indispensable resource for researchers, professionals, and students keen on pushing the boundaries of understanding in neural computation and systems.

Cognitive Computation and Systems is an innovative open-access journal published by Wiley, dedicated to advancing the fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. Based in the United Kingdom, this journal has established itself as a key resource for researchers, students, and professionals alike since its inception in 2019. With a focus on the convergence of cognitive theories and computational methodologies, Cognitive Computation and Systems aims to publish high-quality research that bridges holistic cognitive processing with algorithmic design. Although the journal is currently categorized in the lower quartiles of its fields, it provides a unique platform for disseminating pioneering ideas that can drive the vital intersection of computer vision, pattern recognition, and psychology. Scholars can take advantage of its open-access model, ensuring that research findings are freely available, thus promoting wider knowledge sharing and collaboration within these rapidly evolving domains. With its ambitious scope and commitment to quality, this journal is poised to make a significant impact in its respective fields.

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 Computational Neuroscience, published by FRONTIERS MEDIA SA, is a leading journal within the fields of neuroscience and computational biology, dedicated to advancing the understanding of the brain's complex functions through innovative computational methodologies. Since its establishment in 2007, this Open Access journal has provided a platform for researchers around the globe to share their groundbreaking findings, as evidenced by its continual presence in the academic conversation and a strong ranking within Scopus metrics (Rank #12/49 in Neuroscience - Neuroscience (miscellaneous) and Rank #63/97 in Cellular and Molecular Neuroscience). With an esteemed impact factor reflective of its quality and influence, and a commitment to providing freely accessible research, this journal plays a crucial role in fostering collaboration and knowledge dissemination among professionals, researchers, and students alike. Located in the scientific hub of Switzerland, it invites submissions from diverse perspectives, aiming to bridge the gap between computational models and biological insights through rigorous peer-reviewed publications.

Imaging Science Journal, published by Taylor & Francis Ltd, serves as a vital resource for researchers and professionals in the fields of computer vision, pattern recognition, and media technology. With an ISSN of 1368-2199 and an E-ISSN of 1743-131X, this journal has been fostering scholarly dialogue since its inception in 1997, with a converged content offering extending through 2024. Its categorization in Quartile 4 in Computer Vision and Pattern Recognition and Quartile 3 in Media Technology highlights its relevance and contributions to emerging trends in these domains. Although it ranks 36th in the Engineering - Media Technology category and 96th in Computer Science - Computer Vision and Pattern Recognition, its innovative research and insights continue to attract the attention of scholars dedicated to advancing knowledge at the intersection of imaging technologies. Offering versatile access options, this journal is essential for students, researchers, and professionals aiming to stay informed and engaged in the rapidly evolving landscape of imaging science.

International Journal of Applied Pattern Recognition, published by INDERSCIENCE ENTERPRISES LTD, is a leading peer-reviewed journal that delves into the intricate world of pattern recognition and its applications across various domains, including computer vision, machine learning, and data mining. With its ISSN 2049-887X and E-ISSN 2049-8888, the journal aims to foster academic dialogue and present cutting-edge research that bridges theory and practice. As a vital resource for researchers, professionals, and students in the field, the journal emphasizes innovative methodologies, practical implementations, and interdisciplinary collaborations. Although it does not follow an open access model, contributions to the journal are rigorously vetted to ensure the highest quality of published work. By focusing on real-world applications and advancements in pattern recognition, the International Journal of Applied Pattern Recognition stands out as a key publication that not only informs but also inspires significant progress in the field.

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.

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

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.

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.