Zoom in for PI names; click circles, group labels, and lines for PI, group, and connection details.
Rendering network...

Report summary

The 2021-2023 picture for Stanford University Department of Computer Science is a 35-PI network with 18 internal PI collaborations. The main research signal is Computer Science as the leading field (40% of slots across 22 PIs; 22 labels), Artificial Intelligence as the leading subfield (20% of slots across 14 PIs; 14 labels), and Topic Modeling as the leading topic (6% of slots across 6 PIs; 6 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are James Zou (24.9 weighted works; AI in cancer detection, Artificial Intelligence in Healthcare and Education). The clearest collaboration lines are C. Karen Liu and Jiajun Wu (4 shared works, weight 2.2). The leading breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 9, around Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, led by Jure Leskovec, Dan Jurafsky, Diyi Yang.

Stanford Computer Science Faculty Co-authorship Network - 35 PIs, 18 collaborations | ProfessorNet