A new bibliometric approach to measure knowledge transfer of internationally mobile scientists
Autor: | Valeria Aman |
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Rok vydání: | 2018 |
Předmět: |
Measure (data warehouse)
Computer science business.industry Scale (chemistry) 05 social sciences Cosine similarity Scopus General Social Sciences Library and Information Sciences 050905 science studies Data science Computer Science Applications Knowledge base Publishing Similarity (psychology) 0509 other social sciences 050904 information & library sciences business Knowledge transfer |
Zdroj: | Scientometrics. 117:227-247 |
ISSN: | 1588-2861 0138-9130 |
DOI: | 10.1007/s11192-018-2864-x |
Popis: | This study introduces a new bibliometric approach to study the effects of international scientific mobility on knowledge transfer. It is based on an analysis of internationally mobile and non-internationally mobile German scientists publishing in journals that are indexed in Scopus. Using bibliometric data such co-authored articles, references and lexical abstract terms from the Scopus database, a method is presented that is based on cosine similarity to measure the similarity of the knowledge base of authors and their co-authors. This quantifiable method is capable of revealing potential knowledge transfer between internationally mobile scientists and different types of co-authors. In addition, the Shannon index is used as a diversity measure to analyse the knowledge base of scientists. Analyses are presented for an overall 9-year publication period (2007–2015), split into a pre-mobility phase, a mobility phase and a post-mobility phase, each of which lasts for 3 years. Internationally mobile scientists are compared with non-internationally mobile scientists and the potentials and limitations of the method presented are discussed. It is concluded that the bibliometric approach proposed is useful when applied on a large scale. International mobility proves to benefit the exchange of knowledge between scientists and various types of co-authors. |
Databáze: | OpenAIRE |
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