Predicting High Impact Academic Papers Using Citation Network Features
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McNamara, Daniel
Wong, Paul
Christen, Peter
Ng, Kee Siong
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Springer
Abstract
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
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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops
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Restricted until
2037-12-31