Report summary

The 2024-2026 picture for Johns Hopkins University Department of Computer Science is a 20-PI network with 9 internal PI collaborations. The main research signal is Computer Science as the leading field (29% of slots across 11 PIs; 11 labels), Artificial Intelligence as the leading subfield (10% of slots across 5 PIs; 5 labels), and COVID-19 diagnosis using AI as the leading topic (5% of slots across 3 PIs; 3 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The leading PI names are Yiqing Shen (16.8 weighted works; Advanced Neural Network Applications, COVID-19 diagnosis using AI); Peter Abadir (14.6 weighted works; Frailty in Older Adults, Mitochondrial Function and Pathology). The clearest collaboration lines are Chien‐Ming Huang and Victor Nikhil Antony (6 shared works, weight 5.1); Yiqing Shen and Mathias Unberath (4 shared works, weight 4). The leading breakdown groups are group 1 with 8 PIs, 9 internal connections, weight 16, around Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery, led by Yiqing Shen, Peter Abadir, Mathias Unberath.