Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes

Scientometrics

Volumn 105, Issue 3, 2015, Pages 1453-1467

  Thijs, Bart ^a   Zhang, Lin ^a,b   Glänzel, Wolfgang ^a,c  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b NORTH CHINA UNIVERSITY OF WATER RESOURCES AND ELECTRIC POWER   (China)

^c INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Bibliographic coupling; Journal clustering; Second order similarities; Subject classification

Indexed keywords

EID: 84947126842     PISSN: 01389130     EISSN: 15882861     Source Type: Journal    
DOI: 10.1007/s11192-015-1641-3     Document Type: Article

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