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.

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, published by PERGAMON-ELSEVIER SCIENCE LTD, is a leading international journal that has significantly contributed to the fields of medical imaging, graphics, and informatics since its establishment in 1988. With a remarkable reputation reflected in its Q1 quartile rankings across multiple categories—including Computer Graphics, Health Informatics, and Radiology—this journal maintains a prominent position in the academic community, evidenced by its Scopus rankings where it ranks in the top percentile across various disciplines. The journal aims to advance knowledge and innovation within the intersection of technology and healthcare, featuring high-quality research that addresses contemporary challenges in medical imaging and graphical methodologies. With no open access options currently available, this journal serves as a crucial resource for researchers, professionals, and students who are at the forefront of advancing imaging technology and its applications in medicine.

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.

VISUAL COMPUTER is a prestigious journal published by Springer, focusing on the dynamic fields of computer graphics, computer-aided design, computer vision, and software. Established in 1985, this interdisciplinary journal serves as a vital platform for sharing innovative research, applications, and developments crucial to the advancement of visual computing technologies. With a notable Q2 ranking in various categories, including Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition, VISUAL COMPUTER demonstrates a solid impact within the academic community, marked by its Scopus rankings that reflect its significant contributions to the field. While the journal does not offer open access, it remains a reliable source of high-quality content for researchers, professionals, and students eager to stay abreast of emerging trends and techniques, ultimately fostering collaboration and knowledge exchange within the rapidly evolving landscape of visual computing.

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.

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.

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.

IEEE Journal of Biomedical and Health Informatics is a premier publication dedicated to advancing the field of biomedical and health informatics. Published by the esteemed IEEE-Inst Electrical Electronics Engineers Inc, this journal boasts a notable impact within various disciplines, ranking in the top quartile (Q1) across key categories such as Biotechnology, Computer Science Applications, Electrical and Electronic Engineering, Health Informatics, and Health Information Management as of 2023. With a strong Scopus ranking—placing it at #11 in Health Informatics and #6 in Health Information Management—it serves as a vital resource for cutting-edge research and innovative practices. Open Access options enhance accessibility, fostering collaboration among researchers, professionals, and students. Since its inception in 2013, the journal has been committed to publishing high-quality, peer-reviewed articles that explore the pivotal intersection between technology and healthcare, thereby contributing significantly to the evolution of medical practices and patient care.

Image Analysis & Stereology is a premier open-access journal dedicated to the dynamic fields of image analysis and stereological methods, published by the International Society for Stereology. Since its inception in 2000, this journal has provided an essential platform for researchers and professionals to disseminate their findings and share innovative methodologies across various disciplines, including Acoustics, Biotechnology, Computer Vision, and Materials Science. As a respected publication with a broad scope, the journal holds a Q3 ranking across multiple categories and is indexed in Scopus. With its commitment to advancing research and enhancing academic discourse, Image Analysis & Stereology is vital for anyone involved in quantitative imaging studies, offering valuable insights and access to groundbreaking research in a rapidly evolving landscape.