Report summary

Johns Hopkins University Department of Computer Science in 2021-2023 reads as a 29-PI network with 19 internal PI collaborations. The research center of gravity is Computer Science as the leading field (32% of slots across 16 PIs; 16 labels), Artificial Intelligence as the leading subfield (16% of slots across 10 PIs; 10 labels), and Natural Language Processing Techniques as the leading topic (5% of slots across 4 PIs; 4 labels). Overall the pattern is balanced: there is enough structure to identify active groups, while the field mix still leaves room for multiple research identities. The most prominent PIs by weighted works are Elliot K. Fishman (15.3 weighted works; Pancreatic and Hepatic Oncology Research, Radiomics and Machine Learning in Medical Imaging); Jeffrey H. Siewerdsen (15.1 weighted works; Advanced X-ray and CT Imaging, Medical Imaging Techniques and Applications). The strongest pairings are Francis X. Creighton and Mathias Unberath (7 shared works, weight 3.4). The strongest breakdown groups are group 1 with 9 PIs, 11 internal connections, weight 16.2, around Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, led by Jeffrey H. Siewerdsen, T. Y. Alvin Liu, Mathias Unberath.