Prediction of citation dynamics of individual papers

10/02/2019
by   Michael Golosovsky, et al.
0

We apply stochastic model of citation dynamics of individual papers developed in our previous work (M. Golosovsky and S. Solomon, Phys. Rev. E 95, 012324 (2017)) to forecast citation career of individual papers. We focus not only on the estimate of the future citations of a paper but on the probabilistic margins of such estimate as well.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/24/2020

Uncited papers are not unread

We study citation dynamics of the Physics, Economics, and Mathematics pa...
research
11/09/2020

A SIR epidemic model for citation dynamics

The study of citations in the scientific literature crosses the boundari...
research
08/06/2017

Power-law citation distributions are not scale-free

We analyze time evolution of statistical distributions of citations to s...
research
04/30/2017

Search for Evergreens in Science: A Functional Data Analysis

Evergreens in science are papers that display a continual rise in annual...
research
12/10/2020

Longitudinal Citation Prediction using Temporal Graph Neural Networks

Citation count prediction is the task of predicting the number of citati...
research
05/03/2022

Storyteller: The papers co-citing Sleeping Beauty and Prince before awakening

In the Cumulative Advantage(CA) model, which is one of the most fundamen...
research
09/25/2020

Virtual Proximity Citation (VCP): A Supervised Deep Learning Method to Relate Uncited Papers On Grounds of Citation Proximity

Citation based approaches have seen good progress for recommending resea...

Please sign up or login with your details

Forgot password? Click here to reset