Report summary

Duke University Department of Computer Science in 2015-2026 reads as a 44-PI network with 29 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (32% of slots across 26 PIs; 26 labels), Artificial Intelligence as the leading subfield (14% of slots across 14 PIs; 14 labels), and Genomics and Chromatin Dynamics as the leading topic (3% 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 leading PI names are Pankaj K. Agarwal (44.3 weighted works; Computational Geometry and Mesh Generation, Landslides and related hazards); Amanda Randles (35.2 weighted works; Coronary Interventions and Diagnostics, Blood properties and coagulation). The most visible ties are Ricardo Henao and Lawrence Carin (53 shared works, weight 23.3). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 53.4, around Artificial Intelligence, Communication, Radiology, Nuclear Medicine and Imaging, led by Cynthia Rudin, Maciej A. Mazurowski, Ricardo Henao.