  HistCite TM is a large-scale computer tool for mapping science. Its power of
visualization combines the production of historiographs on the basis of the
analysis of co-citations of documents, with the use of bibliometrics specific
indicators. The objective of this article is, to present the advantages of the
new bibliometrics configuration of HistCite TM (2004) when identifying
articles. The analysis of the histograms that produces HistCite TM , in terms
of cumulative advantage and aging of the citations. And the comparative study
of the results of HistCite TM , in its indicators of amplitude and recognition.
Also is examined its treatment of the sampling problems, by formalizing the
Kendall method of estimating the robust standard deviation.
