a method for the automated, reliable retrieval of publication-citation records方法自动、可靠检索publication-citation记录.pdfVIP

A Method for the Automated, Reliable Retrieval of Publication-Citation Records Derek Ruths*, Faiyaz Al Zamal Department of Computer Science, McGill University, Montreal, Quebec, Canada Abstract Background: Publication records and citation indices often are used to evaluate academic performance. For this reason, obtaining or computing them accurately is important. This can be difficult, largely due to a lack of complete knowledge of an individual’s publication list and/or lack of time available to manually obtain or construct the publication-citation record. While online publication search engines have somewhat addressed these problems, using raw search results can yield inaccurate estimates of publication-citation records and citation indices. Methodology: In this paper, we present a new, automated method that produces estimates of an individual’s publication- citation record from an individual’s name and a set of domain-specific vocabulary that may occur in the individual’s publication titles. Because this vocabulary can be harvested directly from a research web page or online (partial) publication list, our method delivers an easy way to obtain estimates of a publication-citation record and the relevant citation indices. Our method works by applying a series of stringent name and content filters to the raw publication search results returned by an online publication search engine. In this paper, our method is run using Google Scholar, but the underlying filters can be easily applied to any existing publication search engine. When compared against a manually constructed data set of individuals and their publication-citation records, our method provides significant improvements over raw search results. The estimated publication-citation records returned by our method have an average sensitivity of 98% and specificity of 72% (in contr