Signal Image and Video Processing, published by Springer London Ltd, is a cutting-edge academic journal dedicated to the fields of electrical and electronic engineering and signal processing. With an ISSN of 1863-1703 and an E-ISSN of 1863-1711, this journal plays a pivotal role in disseminating innovative research findings from 2007 to 2024, boasting a commendable Q2 ranking in its respective categories. Located in the United Kingdom, the journal attracts a diverse readership of researchers, professionals, and students eager to explore advancements in signal processing technologies and their applications in imaging and video analysis. Although it does not offer open access, its rigorous peer-review process ensures the publication of high-quality, impactful research, evident by its respectable rankings within Scopus in both electrical engineering and computer science domains. The journal serves as vital resource for those aiming to stay at the forefront of technological developments and research in image and video processing.

JOURNAL OF DIGITAL IMAGING, published by Springer, is a premier journal dedicated to the field of digital imaging, encompassing significant developments in the intersecting disciplines of radiology, computer science applications, and ultrasound technology. With its impressive Q1 ranking in the categories of Radiology, Nuclear Medicine and Imaging, and Radiological and Ultrasound Technology, and a substantial Q2 ranking in Computer Science Applications, this journal is positioned at the forefront of research dissemination in these vital areas. The ISSN 0897-1889 and E-ISSN 1618-727X signify its broad reach and accessibility, while its Scopus rankings demonstrate its robust impact in the academic community, ranked #41/333 in Radiology and earning a notable 87th percentile status. Since its inception in 1988, the journal has served as a vital resource for researchers and professionals seeking to advance their understanding of digital imaging technologies and their applications. Although it does not currently offer open access options, it continues to foster scholarly dialogue and innovation, making it an indispensable platform for those committed to excellence in imaging science and technology.

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.

IRBM, published by Elsevier Science Inc, stands at the forefront of research in the domains of Biomedical Engineering and Biophysics, boasting impressively high rankings with a Q1 category in both fields according to the 2023 evaluations. With an effective focus on cutting-edge innovations and methodologies, IRBM provides a vital platform for researchers, professionals, and students alike seeking to disseminate and access groundbreaking findings and developments. Its strong presence in the Scopus database, with ranks of #12 in Biochemistry, Genetics and Molecular Biology and #42 in Biomedical Engineering, places it in the top percentile of impactful journals in the field, making it a crucial resource for advancing knowledge and fostering collaboration. While the journal maintains a traditional subscription model, it continues to attract a diverse readership eager for insightful studies and reviews that push the boundaries of science and engineering. With a projected convergence of years extending to 2024, IRBM promises to remain a significant contributor to the ongoing dialogue in the life sciences.

ULTRASONIC IMAGING, published by SAGE PUBLICATIONS INC, is a leading journal within the fields of Radiology, Nuclear Medicine, and Imaging, with a particular focus on advancing the science and application of ultrasound technology. Since its inception in 1979, the journal has provided a platform for high-quality research, featuring innovative studies that bridge theoretical advancements and practical applications, making it an essential resource for researchers and professionals. With a notable impact factor reflecting its robust contribution to the medical community (2023: Q2 rankings in both Radiological and Ultrasound Technology and Radiology, Nuclear Medicine, and Imaging), ULTRASONIC IMAGING serves to disseminate pivotal developments in diagnostic imaging techniques, enhancing the understanding of ultrasound's role in patient care. Researchers are encouraged to explore this journal's collection of cutting-edge articles that push the boundaries of knowledge in ultrasound imaging and its implementation in clinical practices.

Quantitative Imaging in Medicine and Surgery is an esteemed journal dedicated to advancing the field of medical imaging through rigorous research and innovative methodologies. Published by AME PUBLISHING COMPANY in China, this journal has established itself with an impressive Q2 quartile ranking in the field of Radiology, Nuclear Medicine, and Imaging, reflecting its dedication to high-quality research. With a comprehensive focus on quantitative imaging techniques, the journal covers a wide range of topics including image analysis, imaging biomarkers, and the integration of imaging in clinical practice, promoting collaboration between imaging specialists and clinicians. As an open access journal, Quantitative Imaging in Medicine and Surgery ensures that its articles are freely accessible, facilitating the dissemination of knowledge to a broader audience. With a commitment to fostering innovation in imaging science, this journal serves as an invaluable resource for researchers, professionals, and students alike, ultimately aiming to improve patient outcomes through advanced imaging strategies and technologies.

BMC Medical Imaging is a premier open-access journal dedicated to advancing the field of radiology, nuclear medicine, and imaging technologies. Published by BMC in the United Kingdom, this journal serves as a vital resource for researchers, clinicians, and students, fostering a collaborative environment for sharing innovative findings and methodologies in medical imaging. With a commendable impact factor and an impressive Scopus ranking within the top 35% of its category, BMC Medical Imaging provides a platform for high-quality research to be disseminated widely and freely since its inception in 2001. The journal aims to cover a diverse array of topics, from advanced imaging techniques to their clinical applications, enhancing the understanding and effectiveness of diagnostic practices. By contributing to the body of knowledge and facilitating open access to research, BMC Medical Imaging plays a pivotal role in shaping the future of medical imaging and improving patient care.

MEDICAL IMAGE ANALYSIS, published by ELSEVIER, stands as a premier journal in the fields of computer science and medical imaging, particularly focusing on the intersection of Computer Graphics, Computer Vision, and Health Informatics. With an impressive impact factor and a consistent classification in the Q1 quartile across multiple domains including Radiology and Radiological Technology, this journal attracts high-quality research and innovative methodologies that significantly contribute to advancing medical practices and technology. Based in the Netherlands, and covering a gamut of topics from 1996 to 2025, it serves as a vital platform for disseminating cutting-edge studies aiming to enhance diagnostic accuracy and treatment planning through sophisticated imaging techniques. While it does not offer Open Access options, the journal’s rigorous peer-review process and high Scopus rankings—positioning it within the top percentiles across several categories—further solidify its reputation as an essential resource for researchers, professionals, and students committed to the evolution of medical imaging.

The Journal of Imaging, published by MDPI, is an esteemed open-access journal dedicated to advancing the fields of Computer Graphics, Computer Vision, and Electrical Engineering. Since its inception in 2015, this journal has established a significant presence in the academic community, reflected by its impressive rankings in Scopus, including a Q2 quartile in multiple categories such as Computer Vision and Pattern Recognition and Radiology. With a commitment to disseminating high-quality research, the journal offers a platform for innovative studies and practical applications, making it an essential resource for researchers, professionals, and students alike. Operating from its base in Basel, Switzerland, the journal continues to promote scholarly work that pushes the boundaries of imaging technologies, while contributing to the global discourse in its respective fields. The open-access model ensures that valuable research is readily available, fostering collaboration and knowledge-sharing across disciplines.

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.