How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence

作者：

Highlights：

• We have constructed the latest dataset that contains diverse data of the most influential AI scholars (as of 2020) by integrating a variety of web resources.

• We provided an in-depth analysis of the overall educational characteristics of AI scholars.

• We analyzed the differences in the effect of different educational factors on the research productivity of AI researchers in the industry and academia, gaining an extensive understanding of the factors that drive the success of AI talent.

摘要

•We have constructed the latest dataset that contains diverse data of the most influential AI scholars (as of 2020) by integrating a variety of web resources.•We provided an in-depth analysis of the overall educational characteristics of AI scholars.•We analyzed the differences in the effect of different educational factors on the research productivity of AI researchers in the industry and academia, gaining an extensive understanding of the factors that drive the success of AI talent.

论文关键词：Educational background,Research performance,AI,Academic career

论文评审过程：Received 8 December 2021, Revised 12 April 2022, Accepted 19 April 2022, Available online 17 May 2022, Version of Record 17 May 2022.

论文官网地址：https://doi.org/10.1016/j.joi.2022.101292