Traitement du Signal, published by the INT Information & Engineering Technology Association, is a distinguished journal that serves the vibrant field of Electrical and Electronic Engineering. With an ISSN of 0765-0019 and an E-ISSN of 1958-5608, this journal has made significant contributions to the discipline since its inception. While it currently operates under a non-open access model, it maintains its commitment to disseminating valuable research from 2010 to 2023, despite its recent discontinuation in Scopus coverage. Recognized in the third quartile (Q3) of the category in 2022, the journal provides a platform for researchers, professionals, and students to publish their findings on topics such as signal processing, communications, and related technologies. By curating high-quality articles, Traitement du Signal plays a crucial role in advancing knowledge and fostering innovation within the electrical and electronic engineering community.

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.

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

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.

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.

MEDICAL IMAGE ANALYSIS, published by ELSEVIER, stands as a premier journal in the fields of computer science and medical imaging, particularly focusing on the intersection of Computer Graphics, Computer Vision, and Health Informatics. With an impressive impact factor and a consistent classification in the Q1 quartile across multiple domains including Radiology and Radiological Technology, this journal attracts high-quality research and innovative methodologies that significantly contribute to advancing medical practices and technology. Based in the Netherlands, and covering a gamut of topics from 1996 to 2025, it serves as a vital platform for disseminating cutting-edge studies aiming to enhance diagnostic accuracy and treatment planning through sophisticated imaging techniques. While it does not offer Open Access options, the journal’s rigorous peer-review process and high Scopus rankings—positioning it within the top percentiles across several categories—further solidify its reputation as an essential resource for researchers, professionals, and students committed to the evolution of medical imaging.

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.

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.

INTERNATIONAL JOURNAL OF COMPUTER VISION, published by Springer, is a premier peer-reviewed journal that stands at the forefront of the fields of Computer Vision and Artificial Intelligence. With a remarkable impact factor and rankings placing it in the Q1 category across key areas such as Computer Vision and Pattern Recognition, as well as Software, this journal serves as an essential resource for researchers, professionals, and students alike. Since its inception in 1987, it has aimed to advance the understanding and methodologies within the rapidly evolving landscape of computer vision technologies. Its location in the Netherlands underlines its international significance, and with Scopus rankings placing it in the top percentiles of its categories, the journal is recognized for its contribution to groundbreaking research and innovative applications. Although it is not an open-access journal, it still provides extensive access options through institutional and personal subscriptions, offering its readers in-depth insights and findings pivotal to their work in artificial intelligence and computational technologies.

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.