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Research profiles are captured using the following six indicators:

  • Professors,
  • Non-professorial scientific staff,
  • Basic funding,
  • Third-party / grant funding,
  • Web of Science publications,
  • Web of Science citations.

These six indicators are presented for the technical universities (TU) and for the non-technical universities (NTU). Each university is compared within its respective group (TU, NTU). The focus is on two specialization indices (RESP and RSI). They are calculated based on the activity index (AI) (here using the example of professors):

 

$$ AI_{ij} := \frac{\text{professors at university } i \text{ in field } j / \text{ professors in field } j}{\text{professors at university } i / \text{ all professors}} $$

\begin{align} \text{Relative Specialization } (RESP) :=&\; 100\, \frac{AI^2 - 1}{AI^2 +1}\\ & \\ \text{Relative Specialization Index } (RSI) :=&\; 100\, \frac{AI - 1}{AI +1} \end{align}

 

The RESP / RSI values are generally calculated for all 56 fields defined by the Federal Statistical Office (excluding medicine). Of these, research profiles are presented for 46 fields for which a concordance with the classification by Archambault et al. (2011) could be established. Only those 12 fields are displayed graphically where the coverage of the fields publications in Web of Science is at least 50 percent.

 

 

Note on data used

The findings presented on this website are based on data from the Federal Statistical Office (special inquiry) and data from the Bibliometrics Competence Center funded by the Federal Ministry of Education and Research (BMBF) (funding code: 01PQ17001).