MULTIMEDIA TOOLS AND APPLICATIONS, published by Springer, is a highly regarded journal in the fields of Computer Networks and Communications, Hardware and Architecture, Media Technology, and Software. Since its inception in 1995, this journal has established itself as a vital platform for disseminating innovative research and developments, maintaining a prominent position evidenced by its Q2 and Q1 rankings across various categories as of 2023. With an ISSN of 1380-7501 and an E-ISSN of 1573-7721, it continues to attract high-quality contributions from scholars and practitioners worldwide. Although it does not currently offer Open Access options, its impact is reflected in impressive Scopus rankings, placing it in the top quartiles in multiple categories, including a remarkable 10th rank in Media Technology. As the field evolves rapidly, the journal’s objectives encompass advancing multimedia technologies and exploring their multifaceted applications, making it an essential resource for researchers, professionals, and students seeking to stay at the forefront of this dynamic discipline. For more information, visit the journal's page to explore recent publications and submission guidelines.

The International Journal of Digital Multimedia Broadcasting is a leading scholarly platform dedicated to the interdisciplinary exploration of digital multimedia broadcasting, published by HINDAWI LTD. With an ISSN of 1687-7578 and an E-ISSN of 1687-7586, this Open Access journal has made significant strides since its inception in 2008, ensuring wide accessibility and dissemination of research. Based in the United States, at Adam House, 3rd Flr, 1 Fitzroy Sq, London W1T 5HF, England, the journal covers a range of topics relevant to Communication, Electrical and Electronic Engineering, and Media Technology, boasting impressive Scopus rankings that highlight its influence in these fields. As part of the Q3 category in Communication and Electrical Engineering, and Q2 in Media Technology for 2023, the journal serves a vital role in fostering the understanding of technological advancements and their applications in multimedia broadcasting. Researchers, professionals, and students are encouraged to contribute to and benefit from the journal's rich repository of knowledge, paving the way for innovative developments in this dynamic industry.

The International Journal of Mobile Computing and Multimedia Communications, published by IGI Global, stands at the intersection of technology and connectivity, addressing the critical advancements in mobile computing and multimedia communications. With an ISSN of 1937-9412, this journal provides a platform for the dissemination of innovative research findings and insights, fostering collaboration and communication among researchers, professionals, and students within the field. Although currently indexed in the Q4 quartile for 2023 in Computer Networks and Communications, its rich archive of articles from 2009 to 2014 and 2016 to 2024 reflects the journal's ongoing commitment to exploring emerging trends, technologies, and methodologies that shape the future of mobile computing. While it is not an open-access journal, the high-quality research published here is crucial for advancing academic discourse and practical applications in an increasingly digital world. By encouraging submissions across a wide range of topics, International Journal of Mobile Computing and Multimedia Communications continues to enhance its reputation as a pivotal resource for scholars and industry experts alike.

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.

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.

EURASIP Journal on Image and Video Processing, published by Springer, is a leading open-access journal dedicated to the dissemination of significant advancements in the field of image and video processing. Since its inception in 2007, the journal has been pivotal in bridging the gap between theoretical research and practical applications, serving a diverse audience of researchers, professionals, and students. With an impressive impact factor reflected in its 2023 Scopus rankings—ranking Q2 in Electrical and Electronic Engineering, Information Systems, and Signal Processing—this journal showcases innovative methodologies, applications, and technologies in the realm of image and video processing. Authors benefit from the journal's open-access model, promoting widespread visibility and accessibility of their work. Located in the heart of New York City, the journal continues to evolve, covering converged years from 2007 to 2024, ensuring it remains at the forefront of research in a rapidly changing technological landscape.

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.

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.

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.

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.