Report summary

For Stanford University Department of Computer Science in 2015-2026, the graph shows 119 visible PIs and 202 internal PI collaborations. The main research signal is Computer Science as the leading field (40% of slots across 86 PIs; 86 labels), Artificial Intelligence as the leading subfield (14% of slots across 39 PIs; 39 labels), and Topic Modeling as the leading topic (3% of slots across 11 PIs; 11 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are Russ B. Altman (58.6 weighted works; Computational Drug Discovery Methods, Bioinformatics and Genomic Networks); James Zou (54.2 weighted works; Artificial Intelligence in Healthcare and Education, AI in cancer detection). The clearest collaboration lines are Li Fei-Fei and Serena Yeung (13 shared works, weight 8.5). The strongest breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 29.9, around Artificial Intelligence, Molecular Biology, Information Systems, led by Jure Leskovec, Dan Jurafsky, Percy Liang; group 2 with 8 PIs, 7 internal connections, weight 31.6, around Computer Vision and Pattern Recognition, Cognitive Neuroscience, Physiology, led by Ehsan Adeli, Li Fei-Fei, Serena Yeung.