JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, published by Optica Publishing Group, is a leading journal in the fields of optics, image science, and vision. With a rich history dating back to 1979, it serves as an essential platform for disseminating cutting-edge research and developments from 1984 to 2024. The journal covers a wide array of topics, including atomic and molecular physics, electronic and optical materials, and pattern recognition in computer vision. Its prestigious categorization in the Q2 quartile for Atomic and Molecular Physics and Optics and its Q3 rankings in Computer Vision and Medical fields indicate the high-level contributions it fosters within the scientific community. Researchers will benefit from its commitment to rigorous peer review and its role in advancing knowledge at the intersection of science and application. Although it is not an open-access journal, the quality of content attainable here is invaluable for academics, industry professionals, and students eager to explore the forefront of optical science.

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.

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.

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.

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.

Foundations and Trends in Computer Graphics and Vision, published by NOW PUBLISHERS INC, is a premier journal dedicated to advancing the fields of computer graphics and vision. With an impressive impact factor and ranked Q1 in the Computer Vision and Pattern Recognition category, this journal has established itself as a vital resource for cutting-edge research and trends. Spanning from 2005 to 2024, it covers a wide array of topics within its scope, featuring comprehensive reviews and insights that are essential for professionals, researchers, and students alike. The journal’s high Scopus rank, placing it in the top 4 of 106 in its discipline, underscores its relevance and authority in the field. While currently not offering open access, the importance of its curated content makes it a valuable addition to any academic library and a must-read for those looking to stay at the forefront of computer graphics and vision advancements.

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.

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.

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.

COMPUTERS & GRAPHICS-UK is a premier journal dedicated to the fields of computer graphics, computer-aided design, and human-computer interaction. Published by Pergamon-Elsevier Science Ltd, this esteemed journal has been a critical resource for researchers and professionals since its inception in 1975. With an impressive impact factor and ranked in the second quartile for key disciplines such as Computer Vision and Pattern Recognition, and Engineering (Miscellaneous), it provides a platform for high-quality, peer-reviewed research spanning theoretical advancements, innovative technologies, and practical applications. Notable for its interdisciplinary approach, the journal also embraces contributions that bridge diverse areas within computer science. Although lacking Open Access options, readers can benefit from its rich archive and cross-disciplinary insights, making it essential for anyone looking to advance their knowledge and practice in computer graphics and related fields. The journal is located in the United Kingdom, at The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, and continues to be a cornerstone for scholarly exchange and advancement in the digital visualization domain.