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.

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.

SIAM Journal on Imaging Sciences is a prestigious academic journal published by SIAM PUBLICATIONS, focusing on the latest advancements and applications in imaging sciences within the fields of applied and general mathematics. Since its inception in 2008, the journal has established itself as a premier outlet for original research, evidenced by its remarkable standing in the academic community, including a Q1 ranking in both Applied Mathematics and Mathematics (miscellaneous) for 2023. With a Scopus rank of #45 in General Mathematics and an 88th percentile achievement, the journal continues to attract high-quality contributions, making it a vital resource for researchers, professionals, and students eager to stay at the forefront of imaging science developments. Although not currently open access, the journal provides significant visibility through its rigorous peer-review process and commitment to scholarly excellence, ensuring that published works contribute substantially to knowledge in the field. For those looking to delve into innovative imaging techniques or mathematical modeling approaches, the SIAM Journal on Imaging Sciences remains an essential reference point.

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.

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.

Computational Visual Media, published by TSINGHUA UNIVERSITY PRESS, is a premier open access journal dedicated to advancing the fields of Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition. Since its inception in 2015, it has established a robust position within the academic community, consistently achieving Q1 rankings across its categories as of 2023. With exceptional Scopus rankings, including a remarkable percentile standing in the top 10% globally, the journal serves as a vital resource for researchers, professionals, and students eager to explore cutting-edge methodologies and technologies in computational visual media. The journal’s open access format enhances accessibility, fostering global collaboration and dissemination of knowledge, making it an indispensable platform for those at the forefront of innovation in these dynamic fields. The journal is headquartered in Beijing, China, and aims to publish high-quality research that not only contributes to theoretical advancements but also addresses practical challenges within computational visual technologies.

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.

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

GRAPHICAL MODELS, published by Academic Press Inc Elsevier Science, is a cutting-edge journal in the fields of Computer Graphics and Computer-Aided Design, Geometry and Topology, Modeling and Simulation, and Software. Since becoming Open Access in 2023, it has expanded its reach, facilitating scholarly communication and encouraging a diverse range of submissions. Operating from the heart of San Diego, United States, the journal has established itself with an impressive ranking, including a Q2 category in multiple disciplines and a notable position in Scopus, particularly in Geometry and Topology, where it ranks #8 out of 106. This journal aims to provide a comprehensive platform for innovative research and application-focused studies, attracting the attention of researchers, professionals, and students who are keen to explore the dynamic landscape of graphical models and their implications across various scientific and engineering domains. With its commitment to publishing high-quality research, GRAPHICAL MODELS is a pivotal resource for anyone interested in advancing the frontiers of graphical representations and simulations.

The Journal of Flow Visualization and Image Processing, published by Begell House Inc, serves as a pivotal forum for scholars and practitioners in the fields of computer science applications, condensed matter physics, and mechanical engineering. Since its inception in 1996, this journal has been dedicated to advancing the understanding of fluid dynamics through visualization techniques and image processing methodologies. With a publication trajectory extending to 2024, the journal has established a solid reputation, reflected in its Q3 categorization across multiple disciplines as of 2023, indicating its relevance and contribution to current research paradigms. Although it is not an open-access journal, it offers invaluable insights and findings that are critical for researchers, professionals, and students alike who are interested in the complexities of flow phenomena and their applications. The journal's commitment to disseminating high-quality research—despite its current rankings, which show room for improvement—underscores its potential for growth and the vital role it plays in fostering innovation within the scientific community.