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.

GRAPHICAL MODELS, published by Academic Press Inc Elsevier Science, is a cutting-edge journal in the fields of Computer Graphics and Computer-Aided Design, Geometry and Topology, Modeling and Simulation, and Software. Since becoming Open Access in 2023, it has expanded its reach, facilitating scholarly communication and encouraging a diverse range of submissions. Operating from the heart of San Diego, United States, the journal has established itself with an impressive ranking, including a Q2 category in multiple disciplines and a notable position in Scopus, particularly in Geometry and Topology, where it ranks #8 out of 106. This journal aims to provide a comprehensive platform for innovative research and application-focused studies, attracting the attention of researchers, professionals, and students who are keen to explore the dynamic landscape of graphical models and their implications across various scientific and engineering domains. With its commitment to publishing high-quality research, GRAPHICAL MODELS is a pivotal resource for anyone interested in advancing the frontiers of graphical representations and simulations.

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.

JOURNAL OF ELECTRONIC IMAGING, published by SPIE - Society of Photo-Optical Instrumentation Engineers, stands at the intersection of cutting-edge research in various fields including Atomic and Molecular Physics, Optics, and Computer Science Applications. With an ISSN of 1017-9909 and an E-ISSN of 1560-229X, this esteemed journal has been a significant contributor to the scientific community since its inception in 1993, continuing its mission to provide a platform for innovative research through 2024. Operating from its headquarters in Bellingham, WA, United States, the journal is currently categorized in the third quartile for major domains such as Electrical and Electronic Engineering, indicating a robust engagement with contemporary topics and advancements. Although it is not an Open Access journal, it remains accessible to a wide audience of researchers, professionals, and students through institutional subscriptions. With its impactful contributions and a comprehensive view of electronic imaging, this journal not only serves as a vital resource but also drives discussions that shape the future of this rapidly evolving field.

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.

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.

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.

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.

International Journal of Advanced Computer Science and Applications, published by SCIENCE & INFORMATION SAI ORGANIZATION LTD, stands as a significant platform in the ever-evolving field of computer science. With its ISSN 2158-107X and E-ISSN 2156-5570, the journal aims to disseminate high-quality research and innovations from diverse areas within computer science, embracing cutting-edge technologies and methodologies. As of 2023, it holds a commendable Q3 ranking in the field, placing it among a competitive cohort of journals while showcasing its commitment to scholarly excellence. The journal operates under an open access model, ensuring that its content is widely accessible to researchers, professionals, and students alike, thereby fostering a collaborative environment for knowledge-sharing and advancing the discipline. With a history of converged contributions from 2017 to 2024, the International Journal of Advanced Computer Science and Applications serves as a vital resource for those seeking to stay at the forefront of computer science research and applications.

Journal of King Saud University-Computer and Information Sciences, published by ELSEVIER, is a prestigious open-access journal focusing on the rapidly evolving fields of computer science and information technology. Since its inception in 1996, this journal has provided a platform for high-quality research and innovative ideas, promoting the dissemination of knowledge to a global audience. With a remarkable impact factor and ranked Q1 in the Computer Science (miscellaneous) category as of 2023, it stands among the top 11% of journals in its field, reflecting its commitment to excellence and relevance. The journal proudly carries the ISSN 1319-1578 and E-ISSN 2213-1248, and it is based in Saudi Arabia while being part of a global academic network. With a Scopus rank of #26 out of 232 in general computer science, the Journal of King Saud University-Computer and Information Sciences is an essential resource for researchers, professionals, and students seeking to stay at the forefront of technological advancement. As it continues to thrive through 2024, it invites contributions that will shape the future of computing and information sciences.