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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7919

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
Authors: EGGHE, Leo
RAO, Ravichandra
Issue Date: 2008
Publisher: John Wiley
Citation: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 59(10). p. 1688-1693
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 , 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: where D is a constant, a convexly decreasing function, which is found in our experiments. Nonlinear regression on gives an estimation of , which can then be used to estimate the h-index of the entire database (Web of Science [WoS] and Scopus): , where S is the total number of documents in the database.
URI: http://hdl.handle.net/1942/7919
DOI: 10.1002/asi.20843
ISI #: 000257920900013
ISSN: 1532-2882
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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