Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  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 ${\rm{h = T}}^{{\textstyle{1 \over \alpha }}} $, proved in Egghe and Rousseau (2006) where T is the number of retrieved documents and α is Lotka's exponent, is confirmed being a concavely increasing function of T.  also give a formula for the relation beten h and N the length of the N-gram: ${\rm{h = D10}}^{ - {\textstyle{{\rm{N}} \over \alpha }}} $ where D is a constant, a convexly decreasing function, which is found in our experiments. Nonlinear regression on ${\rm{h = T}}^{{\textstyle{1 \over \alpha }}} $ gives an estimation of α, which can then be used to estimate the h-index of the entire database (b of Science [WoS] and Scopus): ${\rm{h = S}}^{{\textstyle{1 \over \alpha }}} $, where S is the total number of documents in the database. © 2008 Wiley Periodicals, Inc.
['Leo Egghe', 'I. K. Ravichandra Rao']
I am writing a research paper on a idea 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
[{"from": "human", "value": "I am writing a research paper on a idea 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"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  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 ${\\rm{h = T}}^{{\\textstyle{1 \\over \\alpha }}} $, proved in Egghe and Rousseau (2006) where T is the number of retrieved documents and \u03b1 is Lotka's exponent, is confirmed being a concavely increasing function of T.  also give a formula for the relation beten h and N the length of the N-gram: ${\\rm{h = D10}}^{ - {\\textstyle{{\\rm{N}} \\over \\alpha }}} $ where D is a constant, a convexly decreasing function, which is found in our experiments. Nonlinear regression on ${\\rm{h = T}}^{{\\textstyle{1 \\over \\alpha }}} $ gives an estimation of \u03b1, which can then be used to estimate the h-index of the entire database (b of Science [WoS] and Scopus): ${\\rm{h = S}}^{{\\textstyle{1 \\over \\alpha }}} $, where S is the total number of documents in the database. \u00a9 2008 Wiley Periodicals, Inc."}]