Report summary

For George Mason University Department of Statistics in 2015-2026, the graph shows 18 visible PIs and 6 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (26% of slots across 10 PIs; 10 labels), Statistics and Probability as the leading subfield (18% of slots across 8 PIs; 8 labels), and Statistical Methods and Inference as the leading topic (12% of slots across 6 PIs; 6 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The top weighted PIs are Vadim Sokolov (14.2 weighted works; Gaussian Processes and Bayesian Inference, Complex Systems and Time Series Analysis). The most visible ties are Nicholas Rios and John Stufken (1 shared works, weight 1); Nicholas Rios and Jonathan Auerbach (1 shared works, weight 1). The standout breakdown groups are group 1 with 4 PIs, 4 internal connections, weight 3.1, around Statistics and Probability, Management Science and Operations Research, Epidemiology, led by Jonathan Auerbach, Nicholas Rios, David Kepplinger.