Content-based citation analysis: The next generation of citation analysis

Published on Sep 1, 2014in Journal of the Association for Information Science and Technology2.74
· DOI :10.1002/asi.23256
Ying Ding39
Estimated H-index: 39
(IU: Indiana University),
Guo Zhang6
Estimated H-index: 6
(IU: Indiana University)
+ 3 AuthorsChengXiang Zhai69
Estimated H-index: 69
(UIUC: University of Illinois at Urbana–Champaign)
Traditional citation analysis has been widely applied to detect patterns of scientific collaboration, map the landscapes of scholarly disciplines, assess the impact of research outputs, and observe knowledge transfer across domains. It is, however, limited, as it assumes all citations are of similar value and weights each equally. Content-based citation analysis (CCA) addresses a citation’s value by interpreting each one based on its context at both the syntactic and semantic levels. This paper provides a comprehensive overview of CAA research in terms of its theoretical foundations, methodical approaches, and example applications. In addition, we highlight how increased computational capabilities and publicly available full-text resources have opened this area of research to vast possibilities, which enable deeper citation analysis, more accurate citation prediction, and increased knowledge discovery.
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