Document (#34010)

Author

Egghe, L.
Ravichandra Rao, I.K.

Title

¬The influence of the broadness of a query of a topic on its h-index : models and examples of the h-index of n-grams

Source

Journal of the American Society for Information Science and Technology. 59(2008) no.10, S.1688-1693

Year

2008

Series

Brief communication

Abstract

The article studies the influence of the query formulation of a topic on its h-index. In order to generate pure random sets of documents, we used N-grams (N variable) to measure this influence: strings of zeros, truncated at the end. The used databases are WoS and Scopus. The formula h=T**1/alpha, proved in Egghe and Rousseau (2006) where T is the number of retrieved documents and is Lotka's exponent, is confirmed being a concavely increasing function of T. We also give a formula for the relation between h and N the length of the N-gram: h=D10**(-N/alpha) where D is a constant, a convexly decreasing function, which is found in our experiments. Nonlinear regression on h=T**1/alpha gives an estimation of , which can then be used to estimate the h-index of the entire database (Web of Science [WoS] and Scopus): h=S**1/alpha, , where S is the total number of documents in the database.

Theme

Informetrie

Object

h-index

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