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Self-citations, co-authorships and keywords: A new approach to scientists' field mobility?

Hellsten, Iina; Lambiotte, Renaud; Scharnhorst, Andrea et al.

2007 • In Scientometrics, 72 (3), p. 469-486

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https://hdl.handle.net/2268/87860

DOI
10.1007/s11192-007-1680-5

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Keywords :

citations; network

Abstract :

[en] 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.

Disciplines :

Library & information sciences
Computer science

Author, co-author :

Hellsten, Iina

Lambiotte, Renaud

Scharnhorst, Andrea

Ausloos, Marcel ; Université de Liège - ULiège > Département de physique > Physique statistique appliquée et des matériaux

Language :

English

Title :

Self-citations, co-authorships and keywords: A new approach to scientists' field mobility?

Publication date :

September 2007

Journal title :

Scientometrics

ISSN :

0138-9130

eISSN :

1588-2861

Publisher :

Springer, Dordrecht, Netherlands

Volume :

72

Issue :

3

Pages :

469-486

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 28 March 2011

Statistics

Number of views

97 (2 by ULiège)

Number of downloads

316 (2 by ULiège)

More statistics

Scopus citations^®

65

Scopus citations^®
without self-citations

52

OpenCitations

49

OpenAlex citations

83

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