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Report summary

University of Maryland, College Park Department of Computer Science in 2015-2026 reads as a 80-PI network with 67 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (38% of slots across 55 PIs; 55 labels), Artificial Intelligence as the leading subfield (16% of slots across 30 PIs; 30 labels), and Complexity and Algorithms in Graphs as the leading topic (3% of slots across 6 PIs; 6 labels). Overall the pattern is balanced: there is enough structure to identify active groups, while the field mix still leaves room for multiple research identities. The leading PI names are William Gasarch (37.4 weighted works; Computability, Logic, AI Algorithms, Advanced Topology and Set Theory); Jennifer Golbeck (33.7 weighted works; Benford’s Law and Fraud Detection, Digital Marketing and Social Media). The most visible ties are Elissa M. Redmiles and Michelle L. Mazurek (14 shared works, weight 9.9). The leading breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 17, around Molecular Biology, Computational Theory and Mathematics, Sociology and Political Science, led by Jennifer Golbeck, Ben Shneiderman, David G. Harris; group 2 with 9 PIs, 11 internal connections, weight 33.6, around Information Systems, Signal Processing, Artificial Intelligence, led by Elissa M. Redmiles, Michelle L. Mazurek, Tudor Dumitraş.

University of Maryland, College Park Computer Science Faculty Co-authorship Network - 80 PIs, 67... | ProfessorNet