Frontiers in Signal Processing is a pioneering open access journal published by FRONTIERS MEDIA SA that has been a key player in the field of signal processing since its launch in 2021. With an E-ISSN of 2673-8198, this journal aims to foster innovative research and contribute to advancements in various signal processing applications, from audio and image processing to telecommunications and biometrics. As a platform for researchers, professionals, and students, it provides a rigorous peer-review process along with wide dissemination of high-quality articles, making groundbreaking findings freely accessible to a global audience. The journal’s commitment to open access ensures that knowledge is not confined by paywalls, thereby empowering the scientific community to accelerate discovery and learning. With a comprehensive scope that encompasses theoretical insights and practical applications, Frontiers in Signal Processing is poised to play a vital role in shaping future developments in this dynamic field.

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.

IEEE Journal of Selected Topics in Signal Processing is a premier academic publication dedicated to the advancement of knowledge in the field of signal processing. Published by IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, the journal boasts an impressive impact factor that places it in the top tier of its category; ranked Q1 in both Electrical and Electronic Engineering and Signal Processing for 2023. Given its esteemed standing, the journal serves as a vital resource for researchers, professionals, and students alike, providing cutting-edge insights and developments that shape the future of signal processing. The journal encompasses a wide array of topics relevant to the evolving landscapes of electrical engineering and computer science, with particular significance in innovative applications and methodologies. As a platform for disseminating high-quality research, this journal remains essential for those seeking to stay at the forefront of this dynamic field. You can explore the latest contributions and findings, benefiting from the journal's influential status in the realm of signal processing.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS is a premier publication dedicated to advancing the field of artificial intelligence, fuzzy systems, and related engineering disciplines. Published by IOS PRESS, this journal plays a vital role in disseminating innovative research and methodologies that push the boundaries of knowledge from its inception in 1993 through 2024. With an impact factor underscoring its significance, it maintains a strong reputation for quality and rigor, achieving Q3 in Artificial Intelligence and Q2 in Engineering (miscellaneous) as reported in 2023. Researchers can access invaluable insights into current trends and applications, making it an essential resource for professionals and scholars alike. The journal welcomes contributions that bridge theoretical advancements and practical implementations, fostering a community of interdisciplinary collaboration. Situated in the heart of the Netherlands, the JOURNAL OF INTELLIGENT & FUZZY SYSTEMS is committed to enhancing understanding in the realms of mathematics, statistics, and probability, with Scopus rankings reflecting its competitive edge across various fields.

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.

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.

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.

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.

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.

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.