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dc.contributor.authorGangan Prathap-
dc.date.accessioned2016-02-10T10:59:37Z-
dc.date.available2016-02-10T10:59:37Z-
dc.date.issued2014-01-03-
dc.identifier.citationScientometrics 101(3):1781-1787en_US
dc.identifier.urihttp://ir.niist.res.in:8080/jspui/handle/123456789/2230-
dc.description.abstractIn 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.isoenen_US
dc.publisherSpringeren_US
dc.subjectScientometric distributions; Extreme values;Mean :Quantity Consistency; Citation; h-Index ; z-Indexen_US
dc.titleSingle parameter indices and bibliometric outliersen_US
dc.typeArticleen_US
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