On predicting research grants productivity via machine learning

作者：

Highlights：

• we studied if bibliometric features are are able to predict grants productivity.

• Features related to researchers’ experience, research topics and visibility were extracted.

• Research subject and publication history play a role in predicting success.

• The predictive power of the considered feature is low.

摘要

•we studied if bibliometric features are are able to predict grants productivity.•Features related to researchers’ experience, research topics and visibility were extracted.•Research subject and publication history play a role in predicting success.•The predictive power of the considered feature is low.

论文关键词：

论文评审过程：Received 20 June 2021, Revised 30 December 2021, Accepted 27 January 2022, Available online 8 February 2022, Version of Record 8 February 2022.

论文官网地址：https://doi.org/10.1016/j.joi.2022.101260