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

Using HistCite software to identify significant articles in subject searches of the Web of Science