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A new bibliometric approach to measure knowledge transfer of internationally mobile scientists

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  • Valeria Aman

    (German Centre for Higher Education Research and Science Studies (DZHW))

Abstract

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.

Suggested Citation

  • Valeria Aman, 2018. "A new bibliometric approach to measure knowledge transfer of internationally mobile scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 227-247, October.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2864-x
    DOI: 10.1007/s11192-018-2864-x
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    2. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).
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    4. Li Zhang & Wei Lu & Jinqing Yang, 2023. "LAGOS‐AND: A large gold standard dataset for scholarly author name disambiguation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 168-185, February.
    5. Wang, Chun-Chieh & Lin, Jia-Tian & Chen, Dar-Zen & Lo, Szu-Chia, 2023. "A New Look at National Diversity of Inventor Teams within Organizations," Journal of Informetrics, Elsevier, vol. 17(1).
    6. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Matarrese, Marco Maria, 2022. "International Scientific Co-Publications in Europe," MPRA Paper 113162, University Library of Munich, Germany.
    7. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    8. Teemu Makkonen & Timo Mitze, 2021. "Geo-political conflicts, economic sanctions and international knowledge flows," Papers 2112.00564, arXiv.org.
    9. Dwi Prasetyani & Evi Gravitiani & Malik Cahyadin & Aulia Hapsari Juwita & Selfia Bintariningtyas, 2024. "Two Decades of Palm Oil Business - Environmental Quality Nexus: A Bibliometric Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 290-300, January.
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    11. Valeria Aman, 2022. "Internationally mobile scientists as knowledge transmitters: A lexical‐based approach to detect knowledge transfer," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1418-1431, October.

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