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Predicting High Impact Academic Papers Using Citation Network Features

McNamara, Daniel; Wong, Paul; Christen, Peter; Ng, Kee Siong


Predicting future high impact academic papers is of benefit to a range of stakeholders, including governments, universities, academics, and investors. Being able to predict 'the next big thing' allows the allocation of resources to fields where these rapi

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops
DOI: 10.1007/978-3-642-40319-4_2


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