Predicting High Impact Academic Papers Using Citation Network Features

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

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Predicting High Impact Academic Papers Using Citation Network Features

Date

2013

Authors

McNamara, Daniel

Wong, Paul

Christen, Peter

Ng, Kee Siong

Publisher

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