Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i35/101782
Year: 2016, Volume: 9, Issue: 35, Pages: 1-5
Original Article
Mu-Yeong Knag, Sun-Kyung Seo, Seon-Heui Choi and Byungkyu Kim*
Department of Information Infrastructure, Korea Institute of Science and Technology, Korea; [email protected]
[email protected]
[email protected]
[email protected]
*Author for correspondence
Byungkyu Kim
Department of Information Infrastructure
Email:[email protected]
Objectives: Korea Institute of Science and Technology Information (KISTI) has produced Korea Science Citation Index (KSCI) and has published Korea Journal Citation Reports (KJCR) since 2002. This study was aimed to explore various citation indicators between journals by employing network analysis based Korea Science Citation Database (KSCD). Methods/Statistical Analysis: This study used KSCD (KJCR 2014 coverage) for citation analysis on Korean S&T Journals in 2014. KJCR followed the same model like JCR and is calculated, based on articles in recent 3 years and references in recent one year. Specifically, there are 700 titles of journals for KJCR 2014. Findings: This study analyzes the most recently published KJCR in 2015 and 2014 and suggests the reference’s composition of data type as well as the high rank journals with the yearly trend of main citation index and each fields of citation index. In addition, this paper suggests citation map among the whole journals and classified by subjects through citation network analysis. Through this study, various citation trends of Korea ST journals was revealed, Specifically each journal’s and classified subject’s citation relation through network analysis and composition of citation map. Improvements/Applications: Inter Citation Network Map were produced based on journals in KJCR 2014.
Keywords: Citation Analysis, Citation Network Map, Korea Journal Citation Reports (KJCR), Korea Science Citation Database (KSCD), Korea Science Citation Index (KSCI)
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