Proceedings of the Romanian Academy Series A-Mathematics Physics Technical Sciences Information Science, published by EDITURA ACAD ROMANE, is a noteworthy academic journal that serves as a platform for disseminating original research in the intersecting fields of mathematics, physics, engineering, and computer science. With an ISSN of 1454-9069, this journal not only highlights the vibrant academic contributions from Romania but also attracts international submissions, thus fostering global collaboration. Though it currently does not offer an open-access model, the journal remains indexed in significant databases, reflecting its commitment to quality and scholarly rigor. The journal’s impact can be seen through its rankings, including Q4 in Computer Science, Q3 in Engineering, and Q4 across Mathematics and Physics, as well as its Scopus percentile rankings, which indicate meaningful contributions to these domains. With a converged publication span from 2008 to 2024, it aims to catalyze advancements in technical sciences while enriching the academic discourse among researchers, professionals, and students alike. The journal’s headquarters in Bucharest, Romania, positions it as a key player in the Eastern European academic landscape, making it essential reading for those engaged in cutting-edge research.

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.

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.

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.

Image Analysis & Stereology is a premier open-access journal dedicated to the dynamic fields of image analysis and stereological methods, published by the International Society for Stereology. Since its inception in 2000, this journal has provided an essential platform for researchers and professionals to disseminate their findings and share innovative methodologies across various disciplines, including Acoustics, Biotechnology, Computer Vision, and Materials Science. As a respected publication with a broad scope, the journal holds a Q3 ranking across multiple categories and is indexed in Scopus. With its commitment to advancing research and enhancing academic discourse, Image Analysis & Stereology is vital for anyone involved in quantitative imaging studies, offering valuable insights and access to groundbreaking research in a rapidly evolving landscape.

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.

Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.

Annals of the University of Craiova-Mathematics and Computer Science Series, published by UNIV CRAIOVA, is a distinguished academic journal that serves as a platform for advancing knowledge in the fields of mathematics and computer science. With an ISSN of 1223-6934 and an E-ISSN of 2246-9958, the journal has been disseminating high-quality research since its inception in 2011 and is targeted toward researchers, professionals, and students from these dynamic fields. It has been recognized in the Q3 category for both Computer Science Applications and Mathematics (miscellaneous) as of 2023, highlighting its emerging influence in the academic community, despite its current Scopus Rankings placing it at 42nd percentile for Mathematics and 14th percentile for Computer Science Applications. The journal's commitment to open access and its ongoing contributions until 2024 position it as a vital resource for fostering collaboration and innovation in Romania and beyond. Researchers interested in mathematics and computer science will find valuable insights and cutting-edge studies within its pages.

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.

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.