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.

EJNMMI Physics, the premier journal for advancements in nuclear medicine and imaging, is published by Springer in Switzerland and has been an open-access outlet since 2014, allowing for broad dissemination of critical research findings. With an ISSN of 2197-7364, the journal aims to bridge the gap between state-of-the-art physics and practical applications in biomedical engineering and radiology. Its impressive Q1 ranking in multiple categories, including Biomedical Engineering, Instrumentation, Radiation, and Radiology, Nuclear Medicine and Imaging, exemplifies its significant impact in the field. The journal boasts exceptional metrics with Scopus rankings placing it in the top echelons across disciplines, including a 6th position out of 58 in Radiation, and serves as an essential resource for researchers, professionals, and students who are eager to contribute to and stay informed about cutting-edge scientific advancements. With a broadening scope until 2024, EJNMMI Physics is an indispensable tool for those dedicated to pushing the boundaries of knowledge in medical physics and imaging technologies.

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.

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.

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.

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.

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.

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.

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.

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.