Report summary

Stanford University Department of Mechanical Engineering in 2022-2026 reads as a 57-PI network with 31 internal PI collaborations. The dominant subject mix is Engineering as the leading field (43% of slots across 52 PIs; 52 labels), Biomedical Engineering as the leading subfield (13% of slots across 20 PIs; 20 labels), and 3D Printing in Biomedical Research as the leading topic (2% 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 Ellen Kuhl (30.5 weighted works; Elasticity and Material Modeling, Model Reduction and Neural Networks). The most visible ties are Kenneth E. Goodson and Mehdi Asheghi (57 shared works, weight 21). The leading breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 14.7, around Biomedical Engineering, Rheumatology, Surgery, led by Ellen Kuhl, Ruike Renee Zhao, Alison L. Marsden.