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.

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

International Journal of Biometrics is a distinguished platform dedicated to advancing research in the multifaceted areas of biometrics and its applications across various disciplines. Published by InderScience Enterprises Ltd in the United Kingdom, this journal serves as a vital resource for researchers, professionals, and students involved in applied mathematics, computer science, and electrical engineering. With an ISSN of 1755-8301 and an E-ISSN of 1755-831X, the journal provides a curated collection of innovative studies and reviews that contribute to understanding and improving biometric technologies. As of 2023, it holds a Q4 ranking across several relevant categories, reflecting its commitment to fostering knowledge in an emerging field. Though currently non-open access, it remains accessible to academic institutions and professionals, aiming to bridge gaps in biometrics research and practice. The journal covers a wide scope of topics, notifying readers about essential developments in image processing, pattern recognition, and electronic engineering applications, making it an indispensable resource for anyone interested in the dynamic field of biometrics.

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.

INFORMATION SYSTEMS is a premier journal published by PERGAMON-ELSEVIER SCIENCE LTD, dedicated to advancing the fields of Information Systems, Hardware and Architecture, and Software. With its ISSN 0306-4379 and E-ISSN 1873-6076, this prestigious journal has established a significant presence in the academic community since its inception in 1975, paving the way for innovative research that continues through 2025. Ranked within the Q1 quartile across its core categories, INFORMATION SYSTEMS holds a notable position, with Scopus rankings including #28 in Computer Science - Hardware and Architecture and #64 in Software, both in the 84th percentile. Although it currently does not offer open access, the journal thrives as a vital resource for researchers, professionals, and students, fostering an environment where cutting-edge studies and industry applications converge. Housed in the United Kingdom, at The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England, this journal highlights its commitment to driving scholarly advancements and supporting the evolution of information technologies.

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.

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.

International Journal of Information Retrieval Research (ISSN: 2155-6377 | E-ISSN: 2155-6385) is an esteemed publication under the renowned IGI Global umbrella, dedicated to advancing the field of information retrieval through peer-reviewed research and innovative methodologies. With a focus on the intersection of computer science, data analytics, and library sciences, this journal serves as a vital resource for researchers, practitioners, and scholars seeking to explore the latest trends and practical applications in information retrieval systems. Although it does not currently offer Open Access options, the journal aims to reach a diverse audience by providing high-quality articles that drive discussions and forward research frontiers in this critical domain. The International Journal of Information Retrieval Research is pivotal for those seeking to enhance their understanding and application of information retrieval technologies in an increasingly data-driven world.

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.

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.