Report summary

The 2021-2023 picture for Duke University Department of Radiology is a 22-PI network with 23 internal PI collaborations. The research center of gravity is Medicine as the leading field (59% of slots across 22 PIs; 22 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (28% of slots across 15 PIs; 15 labels), and Radiomics and Machine Learning in Medical Imaging as the leading topic (8% of slots across 5 PIs; 5 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The top weighted PIs are Cristian T. Badea (10 weighted works; Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging); Ehsan Samei (10 weighted works; Advanced X-ray and CT Imaging, Radiation Dose and Imaging). The strongest pairings are Ehsan Samei and W. Paul Segars (27 shared works, weight 10.8). The standout breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 26.5, around Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Oncology, led by Cristian T. Badea, Ehsan Samei, Kyle J. Lafata.