A data analytic approach to quantifying scientific impact

作者：

Highlights：

• A simple yet effective and robust data analytic method of predicting future citations of individual papers is proposed.

• With short-term citation data, the proposed approach can give accurate prediction of future citations, outperforming the state-of-the-art significantly.

• Extensive experiment results are presented to confirm the robustness of the proposed approach across various journals of different disciplines.

摘要

Highlights•A simple yet effective and robust data analytic method of predicting future citations of individual papers is proposed.•With short-term citation data, the proposed approach can give accurate prediction of future citations, outperforming the state-of-the-art significantly.•Extensive experiment results are presented to confirm the robustness of the proposed approach across various journals of different disciplines.

论文关键词：Citation prediction,Data analytic approach

论文评审过程：Received 9 September 2015, Revised 22 February 2016, Accepted 22 February 2016, Available online 8 April 2016, Version of Record 8 April 2016.

论文官网地址：https://doi.org/10.1016/j.joi.2016.02.006