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Bibliometric methods for detecting and analysing emerging research topics
Author(s) -
Wolfgang Glänzel
Publication year - 2012
Publication title -
el profesional de la informacion
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.698
H-Index - 28
eISSN - 1699-2407
pISSN - 1386-6710
DOI - 10.3145/epi.2012.mar.11
Subject(s) - bibliographic coupling , bibliometrics , cluster analysis , data science , computer science , citation , citation analysis , set (abstract data type) , information retrieval , data mining , library science , artificial intelligence , programming language
This study gives an overview of the process of clustering scientific disciplines using hybrid methods, detecting and labelling emerging topics and analysing the results using bibliometrics methods. The hybrid clustering techniques are based on biblo graphic coupling and text-mining and ‘core documents’, and cross-citation links are used to identify emerging fields. The collaboration network of those countries that proved to be most active in the underlying disciplines, in combination with a set of standard indicators, form the groundwork for the bibliometric analysis of the detected emerging research topics.

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