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.

Biomedical Signal Processing and Control is a premier academic journal published by ELSEVIER SCI LTD that stands at the forefront of the rapidly evolving fields of biomedical engineering, health informatics, and signal processing. With an impressive impact factor reflecting its scholarly influence and high standards of research, this journal has been recognized in the Q1 quartile category across multiple disciplines as of 2023. Specifically, it holds esteemed positions within Biomedical Engineering, Health Informatics, and Signal Processing, where it ranks in the top tier of its field on Scopus: #19/131, #21/138, and #47/303 respectively. Published continually from 2006 to 2024, the journal serves as a critical platform for researchers, healthcare professionals, and students, fostering innovation in signal processing techniques and their applications in biomedical systems. Access to cutting-edge research and methodologies makes it an indispensable resource for advancing knowledge and practice within these interdisciplinary domains.

Journal of Real-Time Image Processing, published by SPRINGER HEIDELBERG, is a renowned peer-reviewed journal dedicated to the field of real-time image processing. With an ISSN of 1861-8200 and an E-ISSN of 1861-8219, this journal operates under a rigorous academic framework, ensuring high-quality publications that cater to both theoretical and practical advancements in the discipline. Since its inception in 2006, it has continually evolved, maintaining a Q2 ranking in Information Systems according to the 2023 Category Quartiles. This journal ranks #103 out of 394 in Scopus for Computer Science - Information Systems, positioning it within the top 27% percentile, which underscores its significance in the research community. Its focus on the intersection of image processing and real-time applications makes it a vital resource for researchers, professionals, and students eager to explore and contribute to cutting-edge developments in the field. Though it does not currently offer open access, the journal's comprehensive scope and commitment to disseminating impactful research make it an essential platform for advancing knowledge in real-time image processing.

Welcome to the International Arab Journal of Information Technology, a prestigious publication under the aegis of ZARKA PRIVATE UNIVERSITY in Jordan, dedicated to advancing the field of Information Technology. First established in 2008, this journal has made significant strides in disseminating high-quality research, achieving an impressive Q2 ranking in Computer Science (miscellaneous) and securing a notable 57th percentile position in the Scopus rankings. With a comprehensive scope encompassing various sub-disciplines of computer science, the journal is committed to promoting scholarly dialogue and innovation among researchers, professionals, and students. While currently operating as a subscription-only journal, it remains a vital resource for the academic community seeking to explore the latest trends and advancements in technology. The International Arab Journal of Information Technology is not only a platform for original research but also a vibrant hub for ideas that shape the technological landscape of the Arab region and beyond.

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.

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.

Information Fusion is a premier journal published by Elsevier, specializing in cutting-edge research within the fields of hardware and architecture, information systems, signal processing, and software. With a significant impact factor, it remains at the forefront of academic discourse, boasting a remarkable Q1 ranking in each of its categories in 2023, which underscores its critical role in advancing knowledge and innovation in these domains. The journal, with ISSN: 1566-2535 and E-ISSN: 1872-6305, is dedicated to fostering collaboration and the dissemination of research findings that drive technological advancements and improve system efficiencies. Researchers, professionals, and students alike will find a wealth of valuable insights into emerging methodologies, trends, and applications. Designed to bridge the gap between theory and practice, Information Fusion invites contributions that enrich the academic landscape and provoke engaged discussions among the scholarly community.

MULTIMEDIA SYSTEMS, published by SPRINGER, is a premier academic journal dedicated to the dynamic field of multimedia technology and its applications across various domains. With the ISSN 0942-4962 and E-ISSN 1432-1882, this journal has established itself as an essential resource since its inception in 1993, providing researchers and professionals with rigorous peer-reviewed articles that explore innovative developments in Media Technology, Computer Networks, Hardware Architecture, Information Systems, and Software. As a testament to its academic impact, MULTIMEDIA SYSTEMS has attained a Q2 ranking in multiple key categories for 2023, alongside a notable Q1 ranking in Media Technology, highlighting its significance within the community. With a rich repository of knowledge and ongoing commitment to advancing multimedia research, this journal is an invaluable asset for those seeking to stay informed about cutting-edge technologies and methodologies. While the journal follows a traditional subscription model and is not presently open access, it ensures high-quality content that serves the scholarly needs of its audience, facilitated by its accessibility from Germany's respected academic infrastructures. For inquiries and submissions, the journal is based in New York, NY, further illustrating its global academic reach.

International Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.

Frontiers in Signal Processing is a pioneering open access journal published by FRONTIERS MEDIA SA that has been a key player in the field of signal processing since its launch in 2021. With an E-ISSN of 2673-8198, this journal aims to foster innovative research and contribute to advancements in various signal processing applications, from audio and image processing to telecommunications and biometrics. As a platform for researchers, professionals, and students, it provides a rigorous peer-review process along with wide dissemination of high-quality articles, making groundbreaking findings freely accessible to a global audience. The journal’s commitment to open access ensures that knowledge is not confined by paywalls, thereby empowering the scientific community to accelerate discovery and learning. With a comprehensive scope that encompasses theoretical insights and practical applications, Frontiers in Signal Processing is poised to play a vital role in shaping future developments in this dynamic field.