SIGNAL PROCESSING is a premier academic journal published by Elsevier, dedicated to advancing the field of signal processing. With an impressive impact factor and ranked in the Q1 category across various disciplines such as Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering, and more, the journal stands as a highly respected resource within the academic community. Since its inception in 1979, SIGNAL PROCESSING has provided a platform for researchers and professionals to disseminate their findings on innovative algorithms, techniques, and applications related to signal analysis and processing, making significant contributions to both theoretical and practical aspects of the discipline. The journal is accessible through institutional subscriptions, ensuring that scholars and students can engage with cutting-edge research and foster advancements in technology and methodology. Readers can expect to find a wealth of articles that promote critical discourse and facilitate further research, making SIGNAL PROCESSING an essential reference for anyone involved in the fields of signal processing and related areas.

Jordan Journal of Electrical Engineering, published by TAFILA TECHNICAL UNIVERSITY (TTU) in Jordan, serves as a critical platform for disseminating groundbreaking research in the fields of electrical engineering, energy systems, and related disciplines. With an ISSN of 2409-9600 and an E-ISSN of 2409-9619, the journal is committed to promoting advancements in energy engineering, biomedical applications, control systems, and signal processing among others. Despite its recent establishment in 2023, it has been indexed in multiple categories within Scopus, receiving rankings that reflect its emerging role in the academic community. Researchers and professionals are encouraged to contribute and access cutting-edge articles through open access options, ensuring that knowledge is readily available to all interested parties. As the journal continues to grow, it aims to bridge gaps in knowledge and stimulate dialogue, thereby supporting innovation and practical applications in the engineering sector.

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.

Journal of Real-Time Image Processing, published by SPRINGER HEIDELBERG, is a renowned peer-reviewed journal dedicated to the field of real-time image processing. With an ISSN of 1861-8200 and an E-ISSN of 1861-8219, this journal operates under a rigorous academic framework, ensuring high-quality publications that cater to both theoretical and practical advancements in the discipline. Since its inception in 2006, it has continually evolved, maintaining a Q2 ranking in Information Systems according to the 2023 Category Quartiles. This journal ranks #103 out of 394 in Scopus for Computer Science - Information Systems, positioning it within the top 27% percentile, which underscores its significance in the research community. Its focus on the intersection of image processing and real-time applications makes it a vital resource for researchers, professionals, and students eager to explore and contribute to cutting-edge developments in the field. Though it does not currently offer open access, the journal's comprehensive scope and commitment to disseminating impactful research make it an essential platform for advancing knowledge in real-time image processing.

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.

International Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.

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.

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.

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.

EURASIP Journal on Advances in Signal Processing, published by Springer, is a premier open-access journal that has been at the forefront of research in the field of signal processing since its inception in 2001. With a focus on advancing the disciplines of Electrical Engineering, Hardware and Architecture, and Signal Processing, this journal plays a crucial role in disseminating innovative findings and facilitating collaboration among academics and industry professionals. Ranking in Q2 for Electrical and Electronic Engineering and Q3 in both Hardware and Architecture and Signal Processing as per the 2023 category quartiles, it highlights the journal's commitment to high-quality research. The journal is indexed in Scopus, reflecting its reputable standing within the global research community. Researchers, professionals, and students are invited to contribute to and benefit from the wealth of knowledge and advancements presented in each issue, furthering their understanding and application of state-of-the-art signal processing techniques.