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.

Image Analysis & Stereology is a premier open-access journal dedicated to the dynamic fields of image analysis and stereological methods, published by the International Society for Stereology. Since its inception in 2000, this journal has provided an essential platform for researchers and professionals to disseminate their findings and share innovative methodologies across various disciplines, including Acoustics, Biotechnology, Computer Vision, and Materials Science. As a respected publication with a broad scope, the journal holds a Q3 ranking across multiple categories and is indexed in Scopus. With its commitment to advancing research and enhancing academic discourse, Image Analysis & Stereology is vital for anyone involved in quantitative imaging studies, offering valuable insights and access to groundbreaking research in a rapidly evolving landscape.

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.

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.

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.

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.

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.

International Journal of Biomedical Imaging, published by HINDAWI LTD, stands as a pivotal resource in the field of biomedical imaging, bridging the gap between technological innovation and clinical application. Since its inception in 2006 as an Open Access journal, it has become accessible to a global audience, facilitating research dissemination and collaboration. The journal has garnered recognition within the academic community, achieving a notable Q2 category ranking in Radiology, Nuclear Medicine, and Imaging, with an impressive Scopus rank of 16 out of 333, placing it in the 95th percentile of its field. With coverage from 2006 to 2024, the journal encompasses a broad spectrum of studies focused on advancements in imaging technologies, methodologies, and clinical applications, making it an indispensable source for researchers, professionals, and students eager to stay at the forefront of biomedical imaging innovation.

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.

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.