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Title
Cascading Citation Expansion
Author(s)
Chaomei Chen
Publication Year
2018-06-30
Abstract
Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for more efficient access to cross-referenced scholarly publications, grants, patents, and clinical trials. As a new addition to the growing open citation resources, it offers opportunities that may benefit a wide variety of stakeholders of scientific publications, from researchers and policy makers to the general public. In this article, we explore and demonstrate some of the practical potentials in terms of cascading citation expansions. Given a set of publications, the cascading citation expansion process can be iteratively applied to a set of articles so as to extend the coverage to more and more relevant articles through citation links. Although the conceptual origin can be traced back to Garfield's citation indexing, it has been largely limited, until recently, to the few who have unrestricted access to a citation database that is large enough to sustain such iterative expansions. Building on the open application program interface of Dimensions, we integrate cascading citation expansion functions in CiteSpace and demonstrate how one may benefit from these new capabilities. In conclusion, cascading citation expansion has the potential to improve our understanding of the structure and dynamics of scientific knowledge.
Keyword
Scientometrics; open citations; Dimensions; CiteSpace; cascading citation expansion
Journal Title
Journal of Information Science Theory and Practice
Citation Volume
6
ISSN
2287-4577
DOI
10.1633/JISTaP.2018.6.2.1
Files in This Item:
Thumbnail E1JSCH_2018_v6n2_6.pdf7.56 MBDownload
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 6 - No. 2
Type
Article
URI
https://repository.kisti.re.kr/handle/10580/8701
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