Multimodal Technologies and Interaction, published by MDPI since 2017, is an esteemed open-access journal based in Switzerland, dedicated to the exploration and advancement of innovative multimodal systems that enhance user experience across various digital platforms. With its commitment to disseminating high-quality research in diverse areas such as Computer Networks and Communications, Human-Computer Interaction, and Neuroscience, the journal has rapidly established itself within the academic community, achieving a commendable position in Scopus rankings including Q2 in both Computer Networks and Communications and Computer Science Applications. As an essential resource for researchers, professionals, and students alike, Multimodal Technologies and Interaction fosters interdisciplinary dialogue and supports the development of cutting-edge technologies, ensuring that advancements in multimodal interaction are accessible to a global audience. Scholars can benefit from its Open Access format, allowing unrestricted access to influential studies that shape the future of technology and interaction design.

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.

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.

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a prestigious academic journal established in 1995 that serves as a critical platform for disseminating innovative research in the rapidly evolving fields of artificial intelligence, pattern recognition, and computer vision. With a focus on advancing theoretical and applied methodologies, the journal aims to bridge the gap between research and practical applications, making it essential reading for researchers, professionals, and students alike. The journal holds strong rankings within its categories, placing it in the Q4 for Artificial Intelligence, Q3 for Computer Vision and Pattern Recognition, and Q3 for Software as of 2023. Despite its growing influence, it continues to provide a rich resource for studies at the intersection of machine learning and computer science. The INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE not only contributes to academic discourse but also acts as a catalyst for technological advancement, making a significant impact on the scientific community.

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.

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.

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.

Computer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.

ACM Transactions on Multimedia Computing, Communications, and Applications is a premier journal published by the Association for Computing Machinery (ACM), pivotal in the field of Computer Networks and Communications and Hardware and Architecture. With an impressive 2023 impact factor, this journal holds a commendable Q1 ranking in both its categories, solidifying its significance within the research community. The journal welcomes high-quality research that explores innovative technologies and methodologies in multimedia computing and communication as well as applications that enhance user experiences. While it remains a subscription-based journal, it provides unparalleled access to groundbreaking studies, serving as an essential resource for researchers, professionals, and students seeking to stay at the forefront of multimedia technologies. Spanning from 2005 to 2024, the journal offers a rich repository of knowledge and is committed to fostering advancements in the multimedia domain.

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.