Report summary

For University of California, Riverside Department of Statistics in 2015-2026, the graph shows 17 visible PIs and 12 internal PI collaborations. The main research signal is Mathematics as the leading field (35% of slots across 12 PIs; 12 labels), Statistics and Probability as the leading subfield (27% of slots across 10 PIs; 10 labels), and Statistical Methods and Inference as the leading topic (12% of slots across 6 PIs; 6 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Barry C. Arnold (29.5 weighted works; Mathematical Inequalities and Applications, Probability and Risk Models). The clearest collaboration lines are Daniel R. Jeske and Weixin Yao (4 shared works, weight 2.6). The strongest breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 8.8, around Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, led by Daniel R. Jeske, Weixin Yao, Jun Li.