Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees

Published in ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2019

Recommended citation: D. Mohapatra*, A. Maiti*, S. Bhatia and T. Chakraborty, "Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees," 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Champaign, IL, USA, 2019
Best Paper Nominee,Best Student Paper Winner http://ovshake.me/files/gowidegodeep.pdf

A new way to measure the influence of a paper. We beat raw citation count in predicting the popularity of the articles.

Download paper here Code [slides]

D. Mohapatra, _A. Maiti_, S. Bhatia and T. Chakraborty, “Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees,” 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Champaign, IL, USA, 2019, pp. 305-314. doi: 10.1109/JCDL.2019.00051

[BiBTex]