CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, published by Academic Press Inc Elsevier Science, is an influential platform dedicated to the realms of visual communication, media technology, and advanced image representation. With a strong focus on interdisciplinary approaches, this journal aims to foster the exchange of innovative ideas among researchers and professionals in the fields of computer vision, image processing, and signal processing. Recognized for its significance, it boasts an impressive impact factor within its category quartiles; notably, it ranks Q2 in Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, while achieving Q1 in Media Technology. Based in the United States, the journal not only provides valuable insights into the latest developments from 1990 to 2024 but also encourages cutting-edge research that enhances multimedia systems and user interactions. As a vital resource for students, researchers, and industry professionals alike, the journal ensures a robust understanding of visual information processing, critical for navigating today's digital landscape.

Image and Vision Computing, published by Elsevier, serves as a leading international journal focused on the dynamic fields of computer vision, pattern recognition, and signal processing. With its esteemed Q1 category rankings in these areas and an impressive standing in Scopus metrics, where it ranks 19th in Computer Vision and 23rd in Signal Processing, this journal has firmly positioned itself at the forefront of academic research and innovation. Established in 1983, it continues to publish cutting-edge research that drives advancements in technology and applications across various domains. The journal is committed to disseminating high-quality, peer-reviewed articles that address significant challenges and propose novel solutions, making it an essential resource for researchers, practitioners, and students alike. While not an open access journal, Image and Vision Computing offers a wealth of valuable insights into the ever-evolving landscape of visual computing technologies.

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.

MULTIMEDIA TOOLS AND APPLICATIONS, published by Springer, is a highly regarded journal in the fields of Computer Networks and Communications, Hardware and Architecture, Media Technology, and Software. Since its inception in 1995, this journal has established itself as a vital platform for disseminating innovative research and developments, maintaining a prominent position evidenced by its Q2 and Q1 rankings across various categories as of 2023. With an ISSN of 1380-7501 and an E-ISSN of 1573-7721, it continues to attract high-quality contributions from scholars and practitioners worldwide. Although it does not currently offer Open Access options, its impact is reflected in impressive Scopus rankings, placing it in the top quartiles in multiple categories, including a remarkable 10th rank in Media Technology. As the field evolves rapidly, the journal’s objectives encompass advancing multimedia technologies and exploring their multifaceted applications, making it an essential resource for researchers, professionals, and students seeking to stay at the forefront of this dynamic discipline. For more information, visit the journal's page to explore recent publications and submission guidelines.

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 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.

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, published by Wiley, is a leading journal dedicated to advancing the field of imaging systems and technologies. With an ISSN of 0899-9457 and E-ISSN 1098-1098, this esteemed journal offers a platform for high-quality research spanning essential interdisciplinary areas, including Biomedical Engineering, Computer Science, and Health Informatics. Recognized for its impactful contributions, it holds a commendable position in the Q2 quartile across multiple categories as of 2023. The journal boasts an excellent Scopus ranking, with notable acknowledgments like rank #49 out of 333 in Radiology, Nuclear Medicine, and Imaging, showcasing its relevance and importance in the academic community. Publishes annually from 1989 to 2024, it aims to bridge gaps in knowledge and foster innovative developments through rigorous peer-reviewed articles. Though it operates under a traditional access model, the journal maintains an accessible repository of cutting-edge research, making it indispensable for researchers, professionals, and students alike seeking to stay at the forefront of imaging technology advancements.

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.

International Journal on Document Analysis and Recognition (IJDAR), published by Springer Heidelberg, stands at the forefront of research and advancements in the field of document analysis, computer vision, and pattern recognition. With its ISSN 1433-2833 and E-ISSN 1433-2825, the journal is an essential resource for researchers and practitioners focusing on innovations in automatic document processing, image analysis, and artificial intelligence applications in document retrieval and recognition. Recognized as a Q1 journal in multiple relevant categories, including Computer Science Applications, Computer Vision and Pattern Recognition, and Software, IJDAR boasts impressive Scopus rankings that position it among the top-tier publications in these domains. The journal’s converged publication years from 1998 to 2024 offer a rich repository of knowledge essential for both theoretical and practical advancements, ensuring that researchers, professionals, and students can keep pace with the latest findings and methodologies. Access options may vary, but the journal continuously strives to facilitate the dissemination of high-quality research that contributes significantly to the academic discourse in document analysis and recognition.