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.

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.

The Turkish Journal of Electrical Engineering and Computer Sciences, published by the esteemed Tubitak Scientific & Technological Research Council of Turkey, serves as a pivotal platform for disseminating high-quality research in the interdisciplinary fields of electrical engineering and computer science. With an ISSN of 1300-0632 and an E-ISSN of 1303-6203, this journal spans a rich publication history from 1996 to 2024, contributing significantly to its field with a reputable standing in the Scopus rankings. The journal is categorized within the Q3 quartile for both Computer Science and Electrical and Electronic Engineering, reflecting its commitment to scholarly excellence, as evidenced by its rankings—#111 out of 232 in General Computer Science and #420 out of 797 in Electrical and Electronic Engineering. Aimed at researchers, professionals, and students, it encourages contributions that advance knowledge and foster innovation, bridging gaps between theoretical advancements and practical applications. With a strategic focus on open access, it ensures that critical findings are available to a global audience, enhancing the visibility and impact of research efforts originating from Turkey and beyond. This journal is not only a repository of knowledge but also a catalyst for collaborative research in a rapidly evolving technological landscape.

Signal Image and Video Processing, published by Springer London Ltd, is a cutting-edge academic journal dedicated to the fields of electrical and electronic engineering and signal processing. With an ISSN of 1863-1703 and an E-ISSN of 1863-1711, this journal plays a pivotal role in disseminating innovative research findings from 2007 to 2024, boasting a commendable Q2 ranking in its respective categories. Located in the United Kingdom, the journal attracts a diverse readership of researchers, professionals, and students eager to explore advancements in signal processing technologies and their applications in imaging and video analysis. Although it does not offer open access, its rigorous peer-review process ensures the publication of high-quality, impactful research, evident by its respectable rankings within Scopus in both electrical engineering and computer science domains. The journal serves as vital resource for those aiming to stay at the forefront of technological developments and research in image and video processing.

International Journal of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

MEDICAL IMAGE ANALYSIS, published by ELSEVIER, stands as a premier journal in the fields of computer science and medical imaging, particularly focusing on the intersection of Computer Graphics, Computer Vision, and Health Informatics. With an impressive impact factor and a consistent classification in the Q1 quartile across multiple domains including Radiology and Radiological Technology, this journal attracts high-quality research and innovative methodologies that significantly contribute to advancing medical practices and technology. Based in the Netherlands, and covering a gamut of topics from 1996 to 2025, it serves as a vital platform for disseminating cutting-edge studies aiming to enhance diagnostic accuracy and treatment planning through sophisticated imaging techniques. While it does not offer Open Access options, the journal’s rigorous peer-review process and high Scopus rankings—positioning it within the top percentiles across several categories—further solidify its reputation as an essential resource for researchers, professionals, and students committed to the evolution of medical imaging.

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.

Journal of Electrical and Computer Engineering is a premier open-access journal published by HINDAWI LTD, dedicated to advancing the fields of electrical and computer engineering. With an ISSN of 2090-0147 and an E-ISSN of 2090-0155, this journal has been providing a platform for cutting-edge research since its inception in 2007. Based in the United States, it operates from its address at ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND. The journal has established itself with a healthy impact factor, classified in the 2023 Q2 quartile for both Computer Science (Miscellaneous) and Electrical and Electronic Engineering, demonstrating its growing influence in the academic community. Additionally, its ranking positions it within the 67th percentile in General Computer Science and the 61st percentile in Electrical and Electronic Engineering on Scopus, indicating its significant contribution to these fields. Covering an extensive scope from 2010 to 2024, the journal seeks to publish innovative research articles, reviews, and case studies that explore new techniques and applications in electrical and computer engineering, benefiting a wide audience of researchers, professionals, and students focused on these rapidly-evolving areas.

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.