This paper demonstrates the benefits of combining curriculum vitae studies with advanced bibliometrics. Based on data from 326 CVs within one broad medical subject area we perform a Cluster analysis of CV data. Data reduction produces four different groups of scientists: 1) mobile, 2) immobile, 3) excellent and 4) entrepreneurial. While it is clear that the most mobile and the least mobile researchers represent opposites also in citation performance we should acknowledge that for the large majority, with a low and medium mobility, there is no linear pattern of performance. The paper points at a double process where there are on the one hand selection processes at universities picking out the winners and on the other hand self selection processes where researchers enhance their own performance by being mobile.

We analyze the relation between funding and output using bibliometric methods with field normalized data. Our approach is to connect individual researcher data on funding from Swedish university databases to data on incoming grants using the specific personal ID-number. Data on funding include the person responsible for the grant. All types of research income are considered in the analysis yielding a project database with a high level of precision. Results show that productivity can be explained by background variables, but that quality of research is more or less un-related to background variables.

We present a new model for performance-related funding of universities in Sweden. The model is based oil number of papers in international scientific journals, but relies oil an estimation of field-adjusted production per scientific/technological area Author counts are based oil potential authors using the Waring distribution for 34 areas of science (Schubert and Braun, 1992) We apply this model to the Swedish university system and illustrate with the reallocations that Would follow from a complete implementation. Next, we test the accuracy of the method using publication data from six Swedish universities and four Norwegian universities. In conclusion we discuss advantages and drawbacks with the method