Imaging, published by AKADEMIAI KIADO ZRT, is an esteemed open-access journal dedicated to the field of medical imaging, established in 2020. With an E-ISSN of 2732-0960 and based in Budapest, Hungary, this journal provides a vital platform for the dissemination of cutting-edge research and advancements in imaging techniques, especially in the realms of radiology, nuclear medicine, and ultrasound technology. While currently positioned in the Q4 category across multiple medical specialties, the journal continues to strive for improvements in visibility and impact, contributing to the evolving discourse in medical imaging. The journal aims to facilitate an inclusive and collaborative environment for researchers, professionals, and students, inviting them to share their findings and insights to enhance the field's development. With open-access availability since its inception, Imaging ensures free and easy access to its content, fostering a greater understanding and appreciation of innovative imaging practices worldwide.

Visual Computing for Industry Biomedicine and Art, published by SPRINGER SINGAPORE PTE LTD, is an esteemed Open Access journal that has made significant contributions to its fields since its inception in 2018. With an impressive scope that intersects Computer Graphics, Computer Science, Medicine, and the Visual Arts, this journal serves as a pivotal platform for disseminating research and advancements that address contemporary challenges and innovations in visual computing. Notably, it holds a commendable standing in various Scopus rankings, achieving Q2 status in critical categories such as Computer Vision and Pattern Recognition and Visual Arts, which underscores its impact and reach within the academic community. Its promulgation of high-quality research fosters synergy between diverse disciplines, making it an invaluable resource for researchers, professionals, and students eager to engage with cutting-edge developments in both technology and the arts. The journal's commitment to accessible knowledge, evident through its Open Access offering, further enhances its role as a beacon for scholarly discourse in visual computing.

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 Methods in Biomechanics and Biomedical Engineering - Imaging and Visualization is a prominent academic journal published by Taylor & Francis Ltd, dedicated to the intersection of computational methods and biomedical engineering. With an ISSN of 2168-1163 and an E-ISSN of 2168-1171, the journal has become a crucial resource for researchers and professionals exploring innovative imaging and visualization techniques in healthcare. Covering a broad spectrum of topics, it aims to facilitate the advancement of knowledge in areas such as biomechanics, computational mechanics, and medical imaging. Holding a strong position in various Scopus rankings, including Q2 in Computational Mechanics, it offers valuable insights that foster interdisciplinary collaboration. Although it is not an open-access journal, researchers can access its rich repository of knowledge, which is instrumental in shaping future advancements in biomedical applications. The journal’s commitment to quality and relevance ensures that it remains an authoritative source for emerging trends and methodologies within the field, serving as a vital tool for academia and industry practitioners alike.

Ultrasound Quarterly is a leading journal published by Lippincott Williams & Wilkins, dedicated to advancing knowledge and practice in the fields of radiology, nuclear medicine, and imaging. Established in 1988, the journal has served as a vital platform for researchers, clinicians, and students seeking to stay abreast of the latest advancements and techniques in ultrasound technology. With an impact factor that reflects its significance in the field—ranking in the Q3 category within its specialty based on the 2023 metrics—this journal reaches a global audience, facilitating knowledge dissemination and fostering innovation. Ultrasound Quarterly publishes original research, reviews, and clinical studies, making it an essential resource for professionals committed to enhancing patient care through effective imaging practices. To explore its comprehensive articles, visit the journal's website for easy access to the latest research findings.

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.

Radiology-Artificial Intelligence is an esteemed journal published by the Radiological Society of North America (RSNA), focusing on the intersection of radiology and artificial intelligence. Since its inception in 2019, this journal has rapidly established itself within the academic community, achieving a remarkable Q1 classification in 2023 across multiple categories, including Artificial Intelligence, Radiological and Ultrasound Technology, and Radiology, Nuclear Medicine and Imaging. With an impressive impact factor reflected by its high Scopus rankings—6th in the realm of Radiology, 3rd in Radiological Technology, and 25th in Computer Science—this journal stands as a crucial platform for groundbreaking research and innovation. Researchers, professionals, and students alike will find this publication an invaluable resource for advancing their understanding of AI applications in radiology, enhancing diagnostic capabilities, and improving patient care. The journal operates on a non-open access model, ensuring high-quality peer-reviewed content. Located in Oak Brook, Illinois, the RSNA continues to lead the field by promoting excellence in the integration of artificial intelligence into medical imaging practices.

JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, published by I S & T - SOC IMAGING SCIENCE TECHNOLOGY, is a pivotal resource in the realms of imaging science, optics, and materials. With its ISSN 1062-3701 and E-ISSN 1943-3522, this journal has been disseminating influential research since 1993 and continues to be a vital platform for scholars up to 2024. Despite its varied quartile rankings across disciplines—such as Q4 in Atomic and Molecular Physics and Optics, and Q3 in Chemistry (Miscellaneous) and Electronic, Optical and Magnetic Materials—it provides an essential forum for innovative ideas and advancements. The journal’s focus on interdisciplinary connections encourages collaboration among researchers in the fields of chemistry, computer science, and physics. Researchers, professionals, and students interested in exploring the latest imaging technologies and methodologies will find invaluable insights within its pages, making it a significant addition to their academic libraries.

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.

JOURNAL OF MATHEMATICAL IMAGING AND VISION, published by Springer, stands as a significant platform for advancing the fields of applied mathematics, computer vision, and pattern recognition, among others. With an ISSN of 0924-9907 and an E-ISSN of 1573-7683, this esteemed journal is based in the Netherlands and has been contributing to the scholarly discourse since its inception in 1992, with a converged focus through 2024. It has achieved reputable standings within several quartiles, including Q2 rankings across applied mathematics, geometry and topology, and condensed matter physics, reflecting its impact and relevance. Notably, the journal ranks within the top 5% in Geometry and Topology and maintains robust standings in Statistics and Probability. The JOURNAL OF MATHEMATICAL IMAGING AND VISION is dedicated to publishing high-quality research that bridges theoretical perspectives with practical applications, making it an essential resource for researchers, professionals, and students who are exploring the cutting-edge of mathematical imaging and its interdisciplinary applications.