Measuring cognitive distance between publication portfolios

作者：

Highlights：

• Cognitive distance between publication portfolios of scientific units is determined.

• The importance of scale invariance in determining cognitive distance is explained.

• Two similarity-based methods in N dimensions are proposed.

• Low dimensional and N-dimensional methods are compared in a small case study.

摘要

•Cognitive distance between publication portfolios of scientific units is determined.•The importance of scale invariance in determining cognitive distance is explained.•Two similarity-based methods in N dimensions are proposed.•Low dimensional and N-dimensional methods are compared in a small case study.

论文关键词：Cognitive distances,Barycenters,Similarity matrices,Similarity-adapted publication vectors,Weighted cosine similarity,Bootstrapping,Research expertise

论文评审过程：Received 12 October 2016, Accepted 7 February 2017, Available online 29 April 2017, Version of Record 29 April 2017.

论文官网地址：https://doi.org/10.1016/j.joi.2017.03.001