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.

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.

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 Applied Pattern Recognition, published by INDERSCIENCE ENTERPRISES LTD, is a leading peer-reviewed journal that delves into the intricate world of pattern recognition and its applications across various domains, including computer vision, machine learning, and data mining. With its ISSN 2049-887X and E-ISSN 2049-8888, the journal aims to foster academic dialogue and present cutting-edge research that bridges theory and practice. As a vital resource for researchers, professionals, and students in the field, the journal emphasizes innovative methodologies, practical implementations, and interdisciplinary collaborations. Although it does not follow an open access model, contributions to the journal are rigorously vetted to ensure the highest quality of published work. By focusing on real-world applications and advancements in pattern recognition, the International Journal of Applied Pattern Recognition stands out as a key publication that not only informs but also inspires significant progress in the field.

Computer Methods and Programs in Biomedicine, published by ELSEVIER IRELAND LTD, is a leading journal at the intersection of computer science and biomedical research. With an impressive impact factor evidenced by its Q1 rankings in multiple categories—Computer Science Applications, Health Informatics, and Software—this journal ranks highly among peer publications, showcasing its significance in advancing interdisciplinary research. Covering a wide array of topics since its inception in 1985, it is particularly crucial for those invested in the innovation of computational methods applied to the biomedical field. The journal has established a strong reputation, with Scopus rankings placing it in the top percentiles across its relevant sectors, including the 14th position out of 138 in Health Informatics. Researchers, practitioners, and students looking to explore current trends, methodologies, and advancements in biomedical applications of computer science will find this journal an invaluable resource.

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.

Journal of Signal Processing Systems for Signal Image and Video Technology, published by SPRINGER, is a leading interdisciplinary journal dedicated to advancing research and development in the fields of signal processing, image processing, and video technology. With an ISSN of 1939-8018 and an E-ISSN of 1939-8115, this journal emphasizes both theoretical and practical applications, boasting a wide scope that ranges from control and systems engineering to hardware architecture. Since its inception in 2008, it has gained a solid reputation, reflected in its 2023 category quartile rankings—including Q2 in Control and Systems Engineering and Q3 in Signal Processing—demonstrating its significance within the academic community. The journal is underpinned by a commitment to open access, promoting broad dissemination of knowledge, and is particularly vital for researchers, professionals, and students looking to contribute to and stay updated in these rapidly evolving fields. With ongoing explorations into the convergence of technology and methodology until 2024, the journal stands as a crucial resource for the latest innovations and discussions in signal processing systems.

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.

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.

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.