Report summary

For Stanford University Department of Computer Science in 2022-2026, the graph shows 43 visible PIs and 42 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (37% of slots across 29 PIs; 29 labels), Artificial Intelligence as the leading subfield (19% of slots across 17 PIs; 17 labels), and Topic Modeling as the leading topic (4% of slots across 5 PIs; 5 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The top weighted PIs are James Zou (30.7 weighted works; Artificial Intelligence in Healthcare and Education, AI in cancer detection). The most visible ties are Rishi Bommasani and Percy Liang (6 shared works, weight 5.1). The standout breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 16.1, around Artificial Intelligence, Molecular Biology, Health Informatics, led by James Zou, Diyi Yang, Daniel E. Ho; group 2 with 7 PIs, 7 internal connections, weight 4.3, around Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Physiology, led by Marco Pavone, Ehsan Adeli, Jiajun Wu.