Discipline Bias of Document Citation Impact Indicators: Analyzing Articles in Korean Citation Index (논문 인용 영향력 측정 지수의 편향성에 대한 연구: KCI 수록 논문을 대상으로)

Lee, Jae Yun (이재윤); Sanghee Choi (최상희)

doi:10.3743/KOSIM.2015.32.4.205

Discipline Bias of Document Citation Impact Indicators: Analyzing Articles in Korean Citation Index

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2015, 32(4), pp.205~221
DOI : 10.3743/KOSIM.2015.32.4.205
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 29, 2015
Accepted : December 8, 2015
Published : December 30, 2015

Lee, Jae Yun ¹, Sanghee Choi ²

¹명지대학교
²대구가톨릭대학교

Accredited

ABSTRACT

The impact of a journal is commonly used as the impact of an individual paper within that journal. It is problematic to interpret a journal’s impact as a single paper’s impact of the journal, so there are several researches to measure a single paper’s impact with its own citation counts. This study applied 8 impact indicators to Korean Citation Index database and examined discipline bias of each indicator. Analyzed indicators are simple citation counts, PageRank, f-value, CCI, c-index, single publication h-index, single publication hs-index, and cl-index. PageRank has the least discipline bias at highly ranked papers and journal bias in a discipline. On the contrary, simple citation counts showed strongly biased results toward a certain discipline or a journal. KCI database provides only simple citation counts. It needs to show PageRank (global indicator) to discover influential papers in diverse areas. Furthermore it needs to consider to provide the best of local indicators. Local indicators can be calculated only with papers in users’ search results because they uses citation counts of citing papers and the number of references. They are more efficient than global indicators which explore the whole database. KCI should also consider to provide Cl-index (local indicator).

KEYWORDS

research evaluation, citation indicator, citation network, discipline bias, PageRank

Citation status

* References for papers published after 2023 are currently being built.

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KJCKorea
Journal Central

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Discipline Bias of Document Citation Impact Indicators: Analyzing Articles in Korean Citation Index

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Discipline Bias of Document Citation Impact Indicators: Analyzing Articles in Korean Citation Index

ABSTRACT

KEYWORDS

Statistics

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Issue List

Citation status

KCI Citation Counts (6)

REFERENCES (15) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.