Report summary

The 2015-2026 picture for Johns Hopkins University Department of Computer Science is a 80-PI network with 122 internal PI collaborations. The main research signal is Computer Science as the leading field (30% of slots across 42 PIs; 42 labels), Artificial Intelligence as the leading subfield (13% of slots across 24 PIs; 24 labels), and Natural Language Processing Techniques as the leading topic (3% of slots across 8 PIs; 8 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Elliot K. Fishman (68.2 weighted works; Advanced X-ray and CT Imaging, Congenital Heart Disease Studies); Jeffrey H. Siewerdsen (68.1 weighted works; Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging). The clearest collaboration lines are Jeffrey H. Siewerdsen and Ali Uneri (82 shared works, weight 46.9). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 90, around Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery, led by Muyinatu A. Lediju Bell, Kai Ding, Mathias Unberath; group 2 with 10 PIs, 14 internal connections, weight 29.3, around Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, led by Mark Dredze, Benjamin Van Durme, Ryan Cotterell.