Journal
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Volume 59, Issue 10, Pages 1688-1693Publisher
WILEY-BLACKWELL
DOI: 10.1002/asi.20843
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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 a 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 alpha, 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.
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