The effect of database dirty data on h-index calculation

Fiorenzo Franceschini (), Domenico Maisano and Luca Mastrogiacomo
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Fiorenzo Franceschini: Politecnico di Torino
Domenico Maisano: Politecnico di Torino
Luca Mastrogiacomo: Politecnico di Torino

Scientometrics, 2013, vol. 95, issue 3, No 21, 1179-1188

Abstract: Abstract As all databases, the bibliometric ones (e.g. Scopus, Web of Knowledge and Google Scholar) are not exempt from errors, such as missing or wrong records, which may obviously affect publication/citation statistics and—more in general—the resulting bibliometric indicators. This paper tries to answer to the question “What is the effect of database uncertainty on the evaluation of the h-index?”, breaking the paradigm of deterministic database analysis and treating responses to database queries as random variables. Precisely an informetric model of the h-index is used to quantify the variability of this indicator with respect to the variability stemming from errors in database records. Some preliminary results are presented and discussed.

Keywords: Citations; h-index; h-index robustness; Uncertain data; Dirty database (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11192-012-0871-x

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