Authors:
Iina Hellsten VKS-KNAW The Virtual Knowledge Studio for the Humanities and Social Sciences at the Royal Netherlands Academy of Arts and Sciences Cruquiusweg 31 1019 AT Amsterdam The Netherlands

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Renaud Lambiotte Université de Liège SUPRATECS Liège Belgium

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Andrea Scharnhorst VKS-KNAW The Virtual Knowledge Studio for the Humanities and Social Sciences at the Royal Netherlands Academy of Arts and Sciences Cruquiusweg 31 1019 AT Amsterdam The Netherlands

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Marcel Ausloos Université de Liège SUPRATECS Liège Belgium

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Open access

Abstract  

This paper introduces a new approach to detecting scientists’ field mobility by focusing on an author’s self-citation network, and the co-authorships and keywords in self-citing articles. Contrary to much previous literature on self-citations, we will show that author’s self-citation patterns reveal important information on the development and emergence of new research topics over time. More specifically, we will discuss self-citations as a means to detect scientists’ field mobility. We introduce a network based definition of field mobility, using the Optimal Percolation Method (Lambiotte & Ausloos, 2005; 2006). The results of the study can be extended to selfcitation networks of groups of authors and, generally also for other types of networks.

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Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)