TY - JOUR
T1 - Self-citations, co-authorships and keywords
T2 - A new approach to scientists' field mobility?
AU - Hellsten, I.
AU - Scharnhorst, A.
AU - Lambiotte, R.
AU - Ausloos, M.
N1 - Copyright 2007 Elsevier B.V., All rights reserved.
PY - 2007/9/1
Y1 - 2007/9/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34547281849&partnerID=8YFLogxK
U2 - 10.1007/s11192-007-1680-5
DO - 10.1007/s11192-007-1680-5
M3 - Article
AN - SCOPUS:34547281849
SN - 0138-9130
VL - 72
SP - 469
EP - 486
JO - Scientometrics
JF - Scientometrics
IS - 3
ER -