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.

Radiological Physics and Technology, published by SPRINGER JAPAN KK, is a prominent journal that serves as a crucial resource in the multidisciplinary fields of medicine and radiation sciences. With an ISSN of 1865-0333 and an E-ISSN of 1865-0341, the journal has been converging impactful research from 2008 to 2024. It holds a commendable position in academic rankings, currently classified in Q2 in Physical Therapy, Sports Therapy and Rehabilitation and Radiation, along with Q3 for Medicine (miscellaneous) and Radiology, Nuclear Medicine and Imaging. The journal is well-regarded in the academic community, reflected in its Scopus rankings that place it in the upper tiers of its respective categories. Although it currently does not offer Open Access, Radiological Physics and Technology remains a pivotal publication for researchers, academics, and practitioners seeking to advance knowledge and foster innovation in radiological science. Its commitment to disseminating high-quality research ensures its continued relevance and importance within these fields.

Welcome to the International Journal of Wavelets, Multiresolution and Information Processing, a leading platform published by World Scientific Publishing Co. Pte Ltd that explores the intricate intersections of applied mathematics, signal processing, and information systems. Since its inception in 2006, this journal has provided a robust avenue for scholars and practitioners to disseminate innovative research and developments in wavelet theory and its multidisciplinary applications, providing valuable insights into complex problem-solving across various fields. With an impact factor that reflects its rigorous peer-review process and commitment to quality, the journal holds a commendable Q3 category ranking in Applied Mathematics, Information Systems, and Signal Processing as of 2023. The journal is housed in Singapore and serves a global audience, ensuring that groundbreaking research is accessible to all. Emphasizing open discourse and collaboration, the International Journal of Wavelets, Multiresolution and Information Processing is an essential resource for researchers, professionals, and students aiming to advance their understanding and practical use of wavelet and multiresolution techniques.

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 of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.

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.

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.

Traitement du Signal, published by the INT Information & Engineering Technology Association, is a distinguished journal that serves the vibrant field of Electrical and Electronic Engineering. With an ISSN of 0765-0019 and an E-ISSN of 1958-5608, this journal has made significant contributions to the discipline since its inception. While it currently operates under a non-open access model, it maintains its commitment to disseminating valuable research from 2010 to 2023, despite its recent discontinuation in Scopus coverage. Recognized in the third quartile (Q3) of the category in 2022, the journal provides a platform for researchers, professionals, and students to publish their findings on topics such as signal processing, communications, and related technologies. By curating high-quality articles, Traitement du Signal plays a crucial role in advancing knowledge and fostering innovation within the electrical and electronic engineering community.

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.