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.

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.

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.

JOURNAL OF ELECTRONIC IMAGING, published by SPIE - Society of Photo-Optical Instrumentation Engineers, stands at the intersection of cutting-edge research in various fields including Atomic and Molecular Physics, Optics, and Computer Science Applications. With an ISSN of 1017-9909 and an E-ISSN of 1560-229X, this esteemed journal has been a significant contributor to the scientific community since its inception in 1993, continuing its mission to provide a platform for innovative research through 2024. Operating from its headquarters in Bellingham, WA, United States, the journal is currently categorized in the third quartile for major domains such as Electrical and Electronic Engineering, indicating a robust engagement with contemporary topics and advancements. Although it is not an Open Access journal, it remains accessible to a wide audience of researchers, professionals, and students through institutional subscriptions. With its impactful contributions and a comprehensive view of electronic imaging, this journal not only serves as a vital resource but also drives discussions that shape the future of this rapidly evolving field.

Journal of Signal Processing Systems for Signal Image and Video Technology, published by SPRINGER, is a leading interdisciplinary journal dedicated to advancing research and development in the fields of signal processing, image processing, and video technology. With an ISSN of 1939-8018 and an E-ISSN of 1939-8115, this journal emphasizes both theoretical and practical applications, boasting a wide scope that ranges from control and systems engineering to hardware architecture. Since its inception in 2008, it has gained a solid reputation, reflected in its 2023 category quartile rankings—including Q2 in Control and Systems Engineering and Q3 in Signal Processing—demonstrating its significance within the academic community. The journal is underpinned by a commitment to open access, promoting broad dissemination of knowledge, and is particularly vital for researchers, professionals, and students looking to contribute to and stay updated in these rapidly evolving fields. With ongoing explorations into the convergence of technology and methodology until 2024, the journal stands as a crucial resource for the latest innovations and discussions in signal processing systems.

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 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.

Journal of Electrical and Computer Engineering is a premier open-access journal published by HINDAWI LTD, dedicated to advancing the fields of electrical and computer engineering. With an ISSN of 2090-0147 and an E-ISSN of 2090-0155, this journal has been providing a platform for cutting-edge research since its inception in 2007. Based in the United States, it operates from its address at ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND. The journal has established itself with a healthy impact factor, classified in the 2023 Q2 quartile for both Computer Science (Miscellaneous) and Electrical and Electronic Engineering, demonstrating its growing influence in the academic community. Additionally, its ranking positions it within the 67th percentile in General Computer Science and the 61st percentile in Electrical and Electronic Engineering on Scopus, indicating its significant contribution to these fields. Covering an extensive scope from 2010 to 2024, the journal seeks to publish innovative research articles, reviews, and case studies that explore new techniques and applications in electrical and computer engineering, benefiting a wide audience of researchers, professionals, and students focused on these rapidly-evolving areas.

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.

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.