dc.contributor.author |
Gangan Prathap |
|
dc.date.accessioned |
2016-02-10T10:59:37Z |
|
dc.date.available |
2016-02-10T10:59:37Z |
|
dc.date.issued |
2014-01-03 |
|
dc.identifier.citation |
Scientometrics 101(3):1781-1787 |
en_US |
dc.identifier.uri |
http://ir.niist.res.in:8080/jspui/handle/123456789/2230 |
|
dc.description.abstract |
In this paper, we look at the issue of the high-end of research performance
which is captured in the tail of a citation distribution. As the mean is insufficient to capture
the skewness of such distributions, a consistency or concentration measure is the additional
parameter needed. We show that the h-index is only approximately a heuristic mock of a
composite indicator built from three primary indicators which are the number, mean and
consistency term. The z-index is able to sense the change in consistency in the distribution
due to the outliers in the tail of the distribution. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer |
en_US |
dc.subject |
Scientometric distributions; Extreme values;Mean :Quantity Consistency; Citation; h-Index ; z-Index |
en_US |
dc.title |
Single parameter indices and bibliometric outliers |
en_US |
dc.type |
Article |
en_US |