Computer Methods and Programs in Biomedicine, published by ELSEVIER IRELAND LTD, is a leading journal at the intersection of computer science and biomedical research. With an impressive impact factor evidenced by its Q1 rankings in multiple categories—Computer Science Applications, Health Informatics, and Software—this journal ranks highly among peer publications, showcasing its significance in advancing interdisciplinary research. Covering a wide array of topics since its inception in 1985, it is particularly crucial for those invested in the innovation of computational methods applied to the biomedical field. The journal has established a strong reputation, with Scopus rankings placing it in the top percentiles across its relevant sectors, including the 14th position out of 138 in Health Informatics. Researchers, practitioners, and students looking to explore current trends, methodologies, and advancements in biomedical applications of computer science will find this journal an invaluable resource.

IEEE Journal of Selected Topics in Signal Processing is a premier academic publication dedicated to the advancement of knowledge in the field of signal processing. Published by IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, the journal boasts an impressive impact factor that places it in the top tier of its category; ranked Q1 in both Electrical and Electronic Engineering and Signal Processing for 2023. Given its esteemed standing, the journal serves as a vital resource for researchers, professionals, and students alike, providing cutting-edge insights and developments that shape the future of signal processing. The journal encompasses a wide array of topics relevant to the evolving landscapes of electrical engineering and computer science, with particular significance in innovative applications and methodologies. As a platform for disseminating high-quality research, this journal remains essential for those seeking to stay at the forefront of this dynamic field. You can explore the latest contributions and findings, benefiting from the journal's influential status in the realm of signal processing.

COMPUTER VISION AND IMAGE UNDERSTANDING is a leading academic journal published by Academic Press Inc, Elsevier Science, dedicated to the advancement of the fields of computer vision, image understanding, and pattern recognition. Since its inception in 1993, this esteemed publication has garnered a reputation for excellence, achieving a remarkable Q1 ranking in the categories of Computer Vision and Pattern Recognition, Signal Processing, and Software as of 2023. With its robust impact factor and high visibility in the scientific community—ranking #22 out of 106 in Computer Vision and Pattern Recognition and #27 out of 131 in Signal Processing—this journal serves as a vital resource for researchers, professionals, and students looking to explore and contribute to state-of-the-art developments. Although it does not operate under an Open Access model, its rigorous peer-reviewed content ensures quality and relevance in a rapidly evolving technological landscape. The journal’s commitment to fostering innovation makes it an essential tool for anyone engaged in the study and application of computer vision technologies.

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.

Computer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.

International Journal of Biometrics is a distinguished platform dedicated to advancing research in the multifaceted areas of biometrics and its applications across various disciplines. Published by InderScience Enterprises Ltd in the United Kingdom, this journal serves as a vital resource for researchers, professionals, and students involved in applied mathematics, computer science, and electrical engineering. With an ISSN of 1755-8301 and an E-ISSN of 1755-831X, the journal provides a curated collection of innovative studies and reviews that contribute to understanding and improving biometric technologies. As of 2023, it holds a Q4 ranking across several relevant categories, reflecting its commitment to fostering knowledge in an emerging field. Though currently non-open access, it remains accessible to academic institutions and professionals, aiming to bridge gaps in biometrics research and practice. The journal covers a wide scope of topics, notifying readers about essential developments in image processing, pattern recognition, and electronic engineering applications, making it an indispensable resource for anyone interested in the dynamic field of biometrics.

International Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a premier journal published by WILEY PERIODICALS, INC, dedicated to the rapidly evolving fields of data mining and knowledge discovery. Since its inception in 2011, this journal has emerged as a vital resource for researchers and practitioners alike, boasting an impressive Q1 ranking in the field of Computer Science (miscellaneous) as of 2023, and is recognized for achieving a remarkable 98th percentile in Scopus rankings. The journal aims to disseminate high-quality, interdisciplinary research that addresses the theoretical and practical implications of data mining techniques, innovative algorithms, and knowledge discovery paradigms. With a commitment to fostering knowledge exchange among academia and industry, Wiley Interdisciplinary Reviews is essential for those looking to remain at the forefront of data science advancements. Researchers and professionals will find relevant discussions, cutting-edge methodologies, and comprehensive reviews that contribute significantly to the field's development.

Computational Visual Media, published by TSINGHUA UNIVERSITY PRESS, is a premier open access journal dedicated to advancing the fields of Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition. Since its inception in 2015, it has established a robust position within the academic community, consistently achieving Q1 rankings across its categories as of 2023. With exceptional Scopus rankings, including a remarkable percentile standing in the top 10% globally, the journal serves as a vital resource for researchers, professionals, and students eager to explore cutting-edge methodologies and technologies in computational visual media. The journal’s open access format enhances accessibility, fostering global collaboration and dissemination of knowledge, making it an indispensable platform for those at the forefront of innovation in these dynamic fields. The journal is headquartered in Beijing, China, and aims to publish high-quality research that not only contributes to theoretical advancements but also addresses practical challenges within computational visual technologies.

Evolutionary Intelligence is a prestigious journal published by Springer Heidelberg, dedicated to the interdisciplinary study of Artificial Intelligence, Cognitive Neuroscience, Computer Vision, and Mathematics. With its ISSN 1864-5909 and E-ISSN 1864-5917, the journal has established a significant presence in the academic community since its inception in 2008. Spanning a diverse range of topics relevant to both theoretical and empirical research, it has achieved impressive rankings, including Q3 in Artificial Intelligence and Cognitive Neuroscience, and Q2 in Computer Vision and Pattern Recognition as of 2023. With a strong Scopus ranking that places it in the top quartiles of its field, Evolutionary Intelligence serves as an essential platform for scholars and practitioners seeking to advance knowledge and foster innovation in these dynamic fields. Researchers, professionals, and students alike will find invaluable insights and cutting-edge findings that challenge existing paradigms and inspire future explorations in intelligence-related studies.