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This study evaluates the impact of author self-citations on h index by exploring 583 authors whose works appear in key periodicals in environmental engineering. The findings show that authors’ h values have high correlation with authors’ article number, total cited count, and their rankings. There is also a high correlation with h index values and rankings of h values. The study indicates that self-citations have little impact on the values of h index and the h index rankings, whether or not articles with authors’ self-citation are included. Further investigations reveal that, for authors with high values in h index, the two h index values are both highly correlated and with significant difference either with self-citations or without. A similar pattern is seen in authors with low h values. The results suggest that there is no need to deliberately exclude self-citations in analysing or evaluating research performance in environmental engineering.

26:T48d,

A search engine user with a well-defined information need is not interested in getting thousands of hits, but a few hits that are all highly relevant to their search. Often search words need to be refined and augmented to narrow results to more relevant pages. However, an overly specific query may lead to no hits at all, while most typical queries lead to thousands or even millions of them, both undesirable outcomes. This paper suggests a query rewriting method for generating alternative query strings and proposes a hit count prediction model for predicting the number of search engine hits for each alternative query string, based on the English language frequencies of the words in the search terms. Using the hit count prediction model, different types of search strategies, such as a lowest hit count query preference, can be utilized to improve users’ search experience. We present an evaluation experiment of the hit count prediction model for three major search engines. We also discuss and quantify how far the Google, Yahoo! and Bing search engines diverge from monotonic behaviour, considering negative and positive search terms separately.

27:T493,

This study examines the ways in which information consumers evaluate the quality of content in a collaborative-writing environment, in this case Wikipedia. Sixty-four users were asked to assess the quality of five articles from the Hebrew Wikipedia, to indicate the highest- and lowest-quality article of the five and explain their choices. Participants viewed both the article page, and the article’s history page, so th