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For University of California, Davis Department of Computer Science in 2021-2023, the graph shows 20 visible PIs and 0 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (44% of slots across 14 PIs; 14 labels), Artificial Intelligence as the leading subfield (21% of slots across 9 PIs; 9 labels), and Natural Language Processing Techniques as the leading topic (5% of slots across 3 PIs; 3 labels). That is of concern, because the roster has names but no visible internal collaboration structure. The top weighted PIs are Ilias Tagkopoulos (9.8 weighted works; Bacterial Genetics and Biotechnology, Bacterial biofilms and quorum sensing). No internal PI-to-PI collaboration edge is visible in this period. No multi-PI collaboration group is visible in this period, a concerning sign if the department expects a connected internal network.

University of California, Davis Computer Science Faculty Co-authorship Network - 20 PIs, 0... | ProfessorNet