INTRODUCTION Last April 1, Google launched Google Scholar Metrics, a new tool that provides impact metrics for scientific journals, measured from citation counts. The research community was caught on guard and many wondered whether it was a real product or just a joke (April 1 is Fools' Day). However, to the delight of bibliometricians and uneasiness of some major scientific publishers, the Goo...

Entity categorization – the process of grouping entities into categories for some specific purpose – is an important problem with a great many applications, such as Google Scholar and Amazon products. Unfortunately, many real-world categories contain mis-categorized entities, such as publications in one’s Google Scholar page that are published by the others. We have proposed a general framework...


 In today's technological developments, many academics, including students, are writing digital documents. However, finding the right reference source and determining whether an article contains elements of plagiarism or is still experiencing difficulties. Until now, academics have found information from unreliable sources, even though if this continues it can a negative impact on academi...

BACKGROUND Literature searches are essential to evidence-based respiratory care. To conduct literature searches, respiratory therapists rely on search engines to retrieve information, but there is a dearth of literature on the comparative efficiencies of search engines for researching clinical questions in respiratory care. OBJECTIVE To compare PubMed and Google Scholar search results for cli...

Purpose – To describe a small-scale quantitative evaluation of the scholarly information search engine, Google Scholar. Design/methodology/approach – Google Scholar’s ability to retrieve scholarly information was compared to that of three popular search engines: Ask.com, Google and Yahoo! Test queries were presented to all four search engines and the following measures were used to compare them...