Influence of co-authorship networks in the research impact: Ego network analyses from Microsoft Academic Search

作者：

Highlights：

• Microsoft Academic Search is introduced to test its suitability for bibliometric analyses.

• Sparse networks achieved more citations per document than dense and compact ones.

• Mathematics and Social Sciences disciplines describe more disconnected networks.

• Authors that have a high control on their collaborators favours their research impact.

摘要

•Microsoft Academic Search is introduced to test its suitability for bibliometric analyses.•Sparse networks achieved more citations per document than dense and compact ones.•Mathematics and Social Sciences disciplines describe more disconnected networks.•Authors that have a high control on their collaborators favours their research impact.

论文关键词：Bibliometrics,Academic search engines,Ego networks,Research impact,Co-authorship

论文评审过程：Received 31 March 2014, Revised 22 May 2014, Accepted 1 July 2014, Available online 27 July 2014.

论文官网地址：https://doi.org/10.1016/j.joi.2014.07.001