| Abstract: |
Publications are a vital element of any scientist’s career. It is not only the
number of media outlets but aslo the quality of published research that enters
decisions on jobs, salary, tenure, etc. Academic ranking scales in economics
and other disciplines are, therefore, widely used in classification, judgment
and scientific depth of individual research. These ranking systems are
competing, allow for different disciplinary gravity and sometimes give
orthogonal results. Here a statistical analysis of the interconnection between
Handelsblatt (HB), Research Papers in Economics (RePEc, here RP) and Google
Scholar (GS) systems is presented. Quantile regression allows us to
successfully predict missing ranking data and to obtain a so-called HB Common
Score and to carry out a cross-rankings analysis. Based on the merged ranking
data from different data providers, we discuss the ranking systems dependence,
analyze the age effect and study the relationship between the research
expertise areas and the ranking performance. |