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.

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.

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.

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.

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.

International Journal of Biomedical Imaging, published by HINDAWI LTD, stands as a pivotal resource in the field of biomedical imaging, bridging the gap between technological innovation and clinical application. Since its inception in 2006 as an Open Access journal, it has become accessible to a global audience, facilitating research dissemination and collaboration. The journal has garnered recognition within the academic community, achieving a notable Q2 category ranking in Radiology, Nuclear Medicine, and Imaging, with an impressive Scopus rank of 16 out of 333, placing it in the 95th percentile of its field. With coverage from 2006 to 2024, the journal encompasses a broad spectrum of studies focused on advancements in imaging technologies, methodologies, and clinical applications, making it an indispensable source for researchers, professionals, and students eager to stay at the forefront of biomedical imaging innovation.

JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, published by I S & T - SOC IMAGING SCIENCE TECHNOLOGY, is a pivotal resource in the realms of imaging science, optics, and materials. With its ISSN 1062-3701 and E-ISSN 1943-3522, this journal has been disseminating influential research since 1993 and continues to be a vital platform for scholars up to 2024. Despite its varied quartile rankings across disciplines—such as Q4 in Atomic and Molecular Physics and Optics, and Q3 in Chemistry (Miscellaneous) and Electronic, Optical and Magnetic Materials—it provides an essential forum for innovative ideas and advancements. The journal’s focus on interdisciplinary connections encourages collaboration among researchers in the fields of chemistry, computer science, and physics. Researchers, professionals, and students interested in exploring the latest imaging technologies and methodologies will find invaluable insights within its pages, making it a significant addition to their academic libraries.

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.

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.