Impact Factor
3.67
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.33
1,029 total citations
h5-index
32
h5 depth signal
Cited share
81.6%
261 of 320
Total citations
1,029
Citation footprint
Metric signal
4.05
External metric anchor
Self-citation
1.3%
13 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
360
Italy
167
Germany
112
Japan
77
China
76
Citing Fields of Research
Brain Imaging
298
Biomedical Physics
234
Breast Cancer
100
Musculoskeletal Disorders
95
Lung Cancer
88
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,162
Articles tracked across the journal lifetime
Indexed publication set
320
261 cited publications
Last 12 months
173
14.4 publications/month
Open access share
100.0%
173 OA publications in the last year
Leading citing country
United States
360 citing publications
Leading citing field
Brain Imaging
298 citing publications
Latest tracked publication
14 October 2026
10 recent records available
Coverage & Indexing History
v5n1, Mar. 2019-
v1n1, 2015-
Active Coverage
Research Focus & Classification
Indexed Subjects
Biomedical Physics
Brain Imaging
Musculoskeletal Disorders
Breast Cancer
Lung Cancer
Cardiology
Broad Categories
Diagnostic Imaging
Biomedical Physics
Brain Imaging
Musculoskeletal Disorders
Cardiology
Lung Cancer
Breast Cancer
MeSH Descriptors
Tomography
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.3390/tomography12100151
Open DOI
Relative CT Number as a Quantitative Imaging Biomarker for Differentiating Sinonasal Polyp, Inverted Papilloma, and Squamous Cell Carcinoma: A Preliminary Retrospective Study
Background/Objectives: Unilateral sinonasal lesions may be difficult to characterize on non-contrast computed tomography (CT) because inflammatory polyps, benign neoplasms, and malignant tumors can appear as similar unilateral soft-tissu...
02
DOI 10.3390/tomography12100150
Open DOI
Effect of Simulated Soft-Tissue Edema on Ultrasonographic Detection of Nondisplaced Dentoalveolar Fractures: An Ex Vivo Animal Model Study
Objectives: This single-blinded ex vivo diagnostic accuracy study evaluated high-frequency ultrasonography for detecting nondisplaced dentoalveolar fractures and assessed the effect of simulated post-traumatic soft-tissue edema. Methods:...
03
DOI 10.3390/tomography12100149
Open DOI
Preprocedural CT Radiomic Features of the Basal Ganglia Are Associated with Post-Thrombectomy Hyperdense Transformation: A LASSO-Based Logistic Regression Analysis
Purpose: To investigate whether radiomic characteristics of visually unremarkable basal ganglia on preprocedural non-contrast computed tomography (CT) are associated with subsequent post-thrombectomy hyperdense transformation (HT) in pat...
04
DOI 10.3390/tomography12100148
Open DOI
Assessing Calcified Coronary Lesions to Guide Percutaneous Coronary Intervention: From Angiography to Intracoronary Imaging
Background/Objectives: Coronary artery calcification is a leading cause of stent failure and a strong predictor of adverse outcomes after percutaneous coronary intervention (PCI). Accurate characterization of calcium burden, depth, and m...
05
DOI 10.3390/tomography12100147
Open DOI
CT Radiomics and Machine Learning for Three-Class Bone Density Classification: An Exploratory Comparison Across Lumbar Vertebral Levels
Objectives: The aim of this study is to provide early diagnosis of osteoporosis, osteopenia, and normal bone mineral density (BMD) on CT scans utilizing machine learning and radiomics techniques. Methods: In this retrospective study, 874...
06
DOI 10.3390/tomography12100146
Open DOI
Beyond Landmark Error: Agreement Between AI-Assisted and Manual Cephalometric Tracing at the Level of Clinical Measurements: A Systematic Review
Background: Artificial intelligence has revolutionized the field of dentistry. This systematic review evaluated the clinical performance of artificial intelligence (AI)-assisted cephalometric tracing compared with manual or expert digita...
07
DOI 10.3390/tomography12100145
Open DOI
Cardiac Computed Tomography in Infective Endocarditis: A Radiological Perspective on Structural Complications and Emerging Diagnostic Technologies
Background: Infective endocarditis (IE) remains a life-threatening disease associated with substantial morbidity and mortality. Transthoracic and transesophageal echocardiography are the first-line imaging modalities, but their diagnosti...
08
DOI 10.3390/tomography12100144
Open DOI
Artificial Intelligence-Assisted ACR TI-RADS Assessment of Thyroid Nodules: Potential for Reducing Unnecessary Biopsies in a Prospective Single-Center Study
Background: Artificial intelligence (AI)-based ultrasound risk stratification has emerged as a promising tool for improving the evaluation of thyroid nodules. However, prospective evidence regarding its performance in routine clinical pr...
09
DOI 10.3390/tomography12100143
Open DOI
Black-Blood Cinematic Rendering of the Pulmonary Vasculature: A Negative-Contrast Intraluminal Preset
Cinematic rendering (CR) is a physically based three-dimensional (3D) computed tomography (CT) visualization technique that has been applied chiefly to the external surface morphology of vascular structures. Intraluminal CR has previousl...
10
DOI 10.3390/tomography12100142
Open DOI
CT-Referenced Diagnostic Performance and Complementary Error Patterns of Artificial Intelligence Versus a Single Emergency Physician in Chest Radiograph Interpretation: A Retrospective Paired Diagnostic Accuracy Study
Background/Objectives: Artificial intelligence (AI) is increasingly used to support chest radiograph interpretation, but its clinical value depends not only on stand-alone accuracy but also on whether its errors differ from those of clin...
Bibliographical & Catalog Notes
Volume 1 complete with two issues.
Also issued in print.