Image Processing On Line (ISSN: 2105-1232, E-ISSN: 2105-1232) is a pioneering open-access journal published by IMAGE PROCESSING ONLINE-IPOL since 2011, dedicated to advancing the field of image processing through the dissemination of high-quality research and innovative methodologies. Based in France, the journal serves as a platform for researchers, professionals, and students to share insights and breakthroughs in the rapidly evolving domains of Signal Processing and Software. With its current ranking as Q4 in both categories according to the 2023 category quartiles, and a Scopus ranking highlighting its significance within the computer science field, the journal is focused on nurturing contributions that push the boundaries of image processing techniques. Accessible to a global audience, Image Processing On Line is crucial for those engaged in both theoretical explorations and practical applications, ensuring a collaborative repository of knowledge that fosters innovation and development in this vital area of technology.

FLUID DYNAMICS RESEARCH, published by IOP Publishing Ltd, is a pivotal journal dedicated to advancing the understanding of fluid dynamics through interdisciplinary research that spans several domains including mechanical engineering and physics. With an ISSN of 0169-5983 and E-ISSN 1873-7005, this journal provides a vital platform for researchers aiming to disseminate new findings and theoretical advancements in fluid flow and transfer processes. As of 2023, FLUID DYNAMICS RESEARCH holds a commendable position within the academic community, ranked Q3 in fluid flow and transfer processes, mechanical engineering, and miscellaneous physics and astronomy categories. The journal showcases a diverse array of articles that not only inspire collaboration among professionals and students but also ensure that theoretical and experimental studies are accessible for further development in the field. Operating from the United Kingdom, the journal offers a unique opportunity for scholars worldwide to contribute to the vibrant community dedicated to understanding the complexities of fluid dynamics, even as it anticipates converging its years of research from 1986 to 2024.

Acta Cybernetica, published by the University of Szeged, Faculty of Science, serves as a vital platform for researchers and practitioners in the fields of computational theory, computer science, and engineering. With an ISSN and E-ISSN of 0324-721X, this Hungarian journal has been disseminating valuable research since 1990 and is projected to continue through 2024. Although it currently holds a Q4 ranking in multiple categories—including computational theory, computer vision, and theoretical computer science—its impact lies in fostering innovative research discussions and multidisciplinary collaborations. Scholars in its specialized fields will find a wealth of insights that contribute to emerging trends and developments. While Acta Cybernetica is not an open-access journal, it remains an essential resource for advancing knowledge and practices within its academic community.

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

International Journal of Computer Applications in Technology is a reputable academic journal published by InderScience Enterprises Ltd, dedicated to advancing the field of computer applications across various domains including Computer Networks and Communications, Computer Science Applications, and more. With an ISSN of 0952-8091 and an E-ISSN of 1741-5047, this journal has been a credible source of research since its inception in 1976, transitioning into its current form in 1988. With its consistent rank in the Q3 quartile for several key engineering and computer science categories in 2023, it highlights the significance of the journal and its contributions to ongoing discourse in these fields. Researchers benefit from its wide-ranging scope, which encompasses both theoretical and practical applications of technology, making it an invaluable resource for both industry professionals and academic scholars. Although it currently does not provide open access, the journal remains committed to disseminating high-quality research that is essential for technological advancement and innovation.

IT-Information Technology, published by WALTER DE GRUYTER GMBH, is a prestigious academic journal based in Germany that focuses on the multifaceted developments in the field of information technology. With an impressive Q2 ranking in Computer Science (Miscellaneous) and a Scopus ranking of #87 out of 232, this journal serves as a vital resource for researchers, professionals, and students interested in the latest advancements and research across various aspects of IT. Although currently operating under traditional access options, its rich repository of knowledge spans significant periods, notably from 1987 to 1988 and 1996 to 2024, making it essential reading for those seeking to deepen their understanding of computational innovations and methodologies. The journal's commitment to publishing high-quality research ensures that it remains a key player in shaping the discourse within the IT community.

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.

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.

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.

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.