A population-modulated bibliometric measure with an application in the field of statistics

We use Confirmatory Factor Analysis (CFA) to derive a unifying measure of comparison of scientists based on bibliometric measurements, by utilizing the h-index, some similar h-type indices as well as other common measures of scientific performance. We use a real data example from nine well-known Departments of Statistics (Berkeley, Carnegie Mellon, Chicago, Duke, Harvard, Minnesota, Oxford, Stanford and Washington) to demonstrate our approach and argue that our combined measure results in a better overall evaluation of a researchers’ scientific work.