A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis

Volume: 116, Issue: 2, Pages: 973 - 996
Published: May 12, 2018
Abstract
We measure the knowledge flows between countries by analysing publication and citation data, arguing that not all citations are equally important. Therefore, in contrast to existing techniques that utilize absolute citation counts to quantify knowledge flows between different entities, our model employs a citation context analysis technique, using a machine-learning approach to distinguish between important and non-important citations. We use 14...
Paper Details
Title
A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis
Published Date
May 12, 2018
Volume
116
Issue
2
Pages
973 - 996
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