Computerized Medical Imaging and Graphics
Q1 Journal
Journal
Country
United Kingdom
Western Europe
Subject Area and Category
Computer Science
└
Computer Graphics and Computer-Aided Design
Q1
└
Computer Vision and Pattern Recognition
Q1
└
Health Informatics
Q1
Publisher
SJR 2025
1.246
Q1
SJR Score
H-Index
106
Citations / Doc (2yr)
6.23
Total Docs. (latest)
197
Total Citations (3yr)
2,364
Publication type
Journals
ISSN
18790771, 08956111
Coverage
1988-2026
Journal Rank
#3,404
Subject Categories
Computer Graphics and Computer-Aided Design
Q1
Computer Vision and Pattern Recognition
Q1
Health Informatics
Q1
Radiological and Ultrasound Technology
Q1
Radiology, Nuclear Medicine and Imaging
Q1
Subject Areas
Aims & Scope
The purpose of the journal Computerized Medical Imaging and Graphics is to act as a source for the exchange of research results concerning algorithmic advances, development, and application of digital imaging in disease detection, diagnosis, intervention, prevention, precision medicine, and population health.
Included in the journal will be articles on novel computerized imaging or visualization techniques, including artificial intelligence and machine learning, augmented reality for surgical planning and guidance, big biomedical data visualization, computer-aided diagnosis, computerized-robotic surgery, image-guided therapy, imaging scanning and reconstruction, mobile and tele-imaging, radiomics, and imaging integration and modeling with other information relevant to digital health.
The types of biomedical imaging include: magnetic resonance, computed tomography, ultrasound, nuclear medicine, X-ray, microwave, optical and multi-photon microscopy, video and sensory imaging, and the convergence of biomedical images with other non-imaging datasets.
Abstracting & Indexing
Scopus
Google Scholar
Web of Science
Medline
Embase
Detailed Metrics
| Total Docs. (latest) | 197 |
| Total Docs. (3 years) | 327 |
| Total Refs. | 10,713 |
| Total Citations (3 years) | 2,364 |
| Citable Docs. (3 years) | 327 |
| Citations / Doc. (2 years) | 6.23 |
| Ref. / Doc. | 54.38 |
| % Female | 34.4% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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