Mean values of skewed distributions in the bibliometric assessment of research units

Ulrich Schmoch ()
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Ulrich Schmoch: Fraunhofer ISI

Scientometrics, 2020, vol. 125, issue 2, No 7, 925-935

Abstract: Abstract Nearly all distributions in bibliometrics are skewed. In particular, the distribution of citations of publications by research units is skewed. In a statistical view, the calculation of mean values can imply misleading or even wrong information. However, in citation analysis, the calculation of mean values of skewed distributions are standard. Therefore, when ranking research units, it is recommended instead to replace the calculation of standard mean values by the calculation of adjusted mean values to exclude outliers with very high citations and those with very few or no citations as well. Such an adjusted mean value is oriented on the standard activity of a research unit and results in a more adequate assessment. This approach is based on the Hirsch-index concept. The calculation results in a different ranking of research units, which may be important in cases where the distribution of finances depends on bibliometric rankings. In addition, a differentiation between standard activities and excellent results is possible, thus opening two dimensions of the assessment of research units.

Keywords: Skewed distribution; Mean value; Adjusted mean value; Hirsch-index; Bibliometrics; Ranking of research units; 11H60 (search for similar items in EconPapers)
JEL-codes: C46 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-020-03476-8

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