• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.119-143
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• 2011

This study identifies the characteristics of recent citation-based indicators for assessing a single paper in the context of their co-relationships. Five predefined indicators were examined with three variants of h-index which are convened in this study; the formers are PageRank, SCEAS Rank, CCI, f-value, and single paper h-index and the latters are $h_S$-index, h1-index, and $h_S$1-index. The correlation analysis and cluster analysis were performed to group the indicators by common characteristics, after which the indicators were calculated with the dataset from KSCI DB. The results show statistical evidence that distinguishes h-index type indicators from others. The characteristics of the indicators were verified with citation frequency factors using correlation analysis. Finally, the implications for applications and further studies are discussed.

• Proceedings of the Korean Society for Information Management Conference
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• 2010.08a
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• pp.15-20
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• 2010

최근 Web of Science에 도입된 Eigenfactor지수와 논문 영향력 지수(Article Influence Score), 그리고 Scopus에 도입된 SJR 지수는 구글의 PageRank 알고리즘과 같은 네트워크 분석 방식의 인용지수이다. 국내 인용 색인 데이터베이스는 인용 링크가 외부로 향하는 비율과 자기 인용 비율이 높으므로 기존의 네트워크 인용 지수 산출 방식을 그대로 적용하기에는 어려움이 많다. 이 연구에서는 국내 인용색인DB에 대해서 대표적인 네트워크 인용 지수인 저널 페이지랭크를 시험적으로 측정해보고 국내 학술지의 상황을 고려한 개선방안을 모색하였다.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.117-122
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• 2022

최근 국내외 ESG 연구가 활발해지고 있는 가운데, ESG 연구는 급격한 양적 성장을 하고 있음에도 학술지의 질적 수준을 평가할 수 있는 계량적인 논문은 부족한 상태이다. 본 연구는 한국학술지인용색인(KCI)에서 경영학 분야 내의 KCI 인용지수를 활용하여 상위 10개의 학회를 선정하고 이들 간의 ESG 논문 인용빈도와 네트워크 분석을 하였다. 상호 인용빈도를 활용하여 연결망을 작성하고 네트워크 분석 관점에서 ESG 주제에 관한 각 학술지 간 상호인용빈도를 통해 주어진 학술지의 영향력지수(Impact Factor)와 중심성 지수를 기초하여 연구하였다. 이러한 연구를 바탕으로 학술지들이 핵심 문헌을 식별하고 학문 내 지적 구조를 규명하여 경영학 분야의 ESG 연구 동향을 파악하고자 한다. 본 연구는 국내 발간된 경영학 학술지의 ESG에 대한 학술지의 영향력 인용지수를 비교해 보고 나아가 경영학 학술지의 자기 인용 비율을 확인하고 경영학뿐만 아니라 타 학문 분야에서 경영학 관련 학술지에 대한 인용이 이루어질 수 있도록 다학제적 교류와 추가 연구의 필요성을 제기하고자 한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2011.08a
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• pp.29-34
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• 2011

최근 인용 네트워크 분석을 통해서 단일 문헌의 인용 영향력을 측정하려는 시도가 다양하게 전개되고 있다. 널리 알려진 PageRank를 보완하려는 일부 시도와 함께 h-index를 단일 문헌의 인용 영향력 측정에 적용한 단일문헌 h-index도 제안되었다. 이 연구에서는 Web of Science에서 검색한 계량정보학 분야 문헌집합을 대상으로 여러 측정 방식의 특징을 비교해본 후, 새로운 인용지수 2종을 제안하였다. 제안한 인용지수는 PageRank처럼 전역 네트워크 분석 방식인 지수 1종과 h-index처럼 지역 네트워크 분석 방식인 지수 1종으로서 상황에 따라 선택하여 사용할 수 있다.

• Proceedings of the Korean Society for Information Management Conference
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• 2015.08a
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• pp.77-82
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• 2015

본 연구는 의학 분야를 중심으로 A 대학교 의과대학 도서관의 Science Direct 전자학술지 이용통계와 Scopus 인용지수를 비교분석하였다. 이에 594종의 의학 분야 전자학술지를 추출하여, 그 이용통계와 Scopus 인용지수에 대해 빈도분석, 상관관계분석을 실시하였다. 그 결과 의학 분야 전자학술지의 이용이 소수의 학술지에 집중되어 있고, 그 이용통계와 인용지수 사이에 양의 상관관계가 성립함을 확인할 수 있었다.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.71-90
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• 2018

The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

• Journal of the Korean Society for information Management
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• v.23 no.1 s.59
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• pp.221-241
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• 2006

This research suggested a new patent index based on patent citation technique using cited information, For this purpose, comparison research on library and patent information related citation database providing citation index was done. The information quality and meaning on the impact factor of JCR and the technology factor of CHI were reinterpreted. The former emphasizes the quality of continuous publication using relative citation frequency. The latter only emphasizes the information itself because it assesses the quality of patent characteristics. To overcome these difficulties, the latter re-authorized a relative quality to the organization possessing the patent using technology impact factor. Three new patent index were proposed on the basis of cited information to complement this. However, the comparative object was limited to American patent information that presented cited information of patent applied cases, and the comparison and research of domestic patent information could not be done.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.205-221
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• 2015

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).

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.197-220
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• 2020

Recently, the National Research Foundation of Korea (NRF) announced new plan to reflect the KCI citation measures in journal evaluation. In principle, Journal evaluation should reflect each journals situation and characteristics through various indicators. In this study, three improvement plans were proposed by reviewing the announced journal evaluation plan of NRF. The first improvement is to consider the five-year IF as an additional citation measure; the second improvement is to allow flexible selection of the category level on which to rank journals; and the last improvement is to combine the previous two methods and apply them together. The improvement methods proposed in this study are expected to contribute to minimizing side effects of KCI journal evaluation.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.283-308
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• 2008

In this study, we testify that network structural attributes of a citation network can explain other aspects of journal citation behaviors and the importances of journals. And we also testify various citation impact indicators of journals including JIF and h-index to verify the difference among them especially focused on their ability to explain an institution's local features of citation behaviors. An institutional citation network is derived using the articles published in 2006-2007 by biotechnology faculties of Y University. And various journal citation impact indicators including JIF, SJR, h-index, EigenFactor, JII are gathered from different service sites such as Web of Science, SCImago, EigenFactor.com, Journal-Ranking.com. As a results, we can explain the institution's 5 research domains with inter-citation network. And we find that the co-citation network structural features can show explanations on the patterns of institutional journal citation behavior different from the simple cited frequency of the institution or patterns based on general citation indicators. Also We find that journal ranks with various citation indicators have differences and it implies that total-based indices, average-based indices, and hybrid index(h-index) explain different aspects of journal citation pattern. We also reveal that the coverage of citation DB doesn't be a matter in the journal ranking. Analyzing the citation networks derived from an institution's research outputs can be a useful and effective method in developing several library services.