Report summary

The 2021-2023 picture for Stanford University Department of Mechanical Engineering is a 43-PI network with 28 internal PI collaborations. The main research signal is Engineering as the leading field (39% of slots across 34 PIs; 34 labels), Biomedical Engineering as the leading subfield (15% of slots across 16 PIs; 16 labels), and Electrocatalysts for Energy Conversion as the leading topic (3% of slots across 4 PIs; 4 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Ellen Kuhl (16.8 weighted works; Elasticity and Material Modeling, Model Reduction and Neural Networks). The clearest collaboration lines are Kenneth E. Goodson and Mehdi Asheghi (34 shared works, weight 10.2). The leading breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 18.7, around Surgery, Biomedical Engineering, Rheumatology, led by Ellen Kuhl, Alison L. Marsden, Scott L. Delp.