• Journal of the Korean BIBLIA Society for library and Information Science
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• v.13 no.1
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• pp.27-41
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• 2002

The study investigated the citation indicators and the citation analysis data developed in the KoMCI(Korean Medical Citation Index) project. With the full understanding of the current level of citation rates of Korean medical journals by Korean medical journals. and of the characteristics and problems associated with the KoMCI citation indicators, it is possible to further develop or modify citation indicators which will better represent the citation patterns of Korean medical journals. The highest impact factor reported in the KoMCI 2000 : Korean Medical Journal Citation Reports, which covered 69 Korean medical journals published in 2000 is 0.424 and the average is 0.182. It is because only 8.5% of references cited in Korean medical journal articles is to the Korean journal articles, The journal self-citation rates are very high (usually higher than 50%) due to the fact that there are only a few Korean journals published in the same subject area. The KoMCI impact factors of two Korean SCI journals for which SCI JCR reported the SCI 2000 impact factors are about 1/3 of the SCI impact factors. It is because SCI is based on the citations received from 5,900 journals whereas KoMCI is from 69 journals.

• Proceedings of the Korean Society for Information Management Conference
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• 2002.08a
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• pp.273-278
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• 2002

본 연구는 $\boxDr$KoMCl (Korea Medical Citation Index) 2000 한국 의학학술지 인용정보$\boxUl$를 바탕으로 하여 한국 의학학술지에 의한 인용을 통하여 한국 의학학술지를 평가하는 대규모의 인용문헌 분석을 시도하였다. 2000년도에 발행된 69종의 한국 의학학술지를 대상으로 하여 이들의 인용도와 각종 인용분석지표의 특성을 고찰하고, 이러한 인용분석지표가 연구자의 업적평가 지표로 사용될 수 있는지의 여부에 대해 분석 하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.9-13
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• 2016

한국학술지인용색인 KCI의 인용지표가 본격 서비스된 것은 2008년 이후로서 최근 2014년 인용지수가 발표되었다. 7년 동안의 영향력 지수를 비롯하여 KCI가 제공하는 IF 지수와 자기인용율 등의 인용지표 변화 추세를 인문학, 사회과학, 예술체육, 복합학의 4개 인문사회 계열과 자연과학, 공학, 농수해양, 의약학의 4개 공학 계열로 나누어 분석하여 국내 학술지 생태계의 변화를 부분적으로 살펴보고자 하였다.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.4
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• pp.271-289
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• 2004

In this study, we analyze out citing and cited references among researchers, using KSCI (Korean Science Citation Index) database that is developed by KISTI. we generate and analyze that impact factor and immediate index with same method in JCR's. KSCI's impact factor and immediate index compared to JCR's, and with this basis, this study propose the need of development KSCI database and present new service model for evaluate of domestic journals.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1127-1154
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• 2018

This paper aims to contribute to estimating the value of a patent by explaining the unobservable attributes of patent quality using observable patent citation indices. The paper first constructs patent citation data and identifies firm, university, and research institute among assignees, and then tries to explain attributes of patent quality using backward citation indices. Backward citation indices carrying information about technological sources which a given patent is based on turn out to be good predictors of forward citation indices carrying information about attributes of patent quality. Finding the functional relationships between attributes of patent quality and backward citations will lead to the improved estimation and prediction of patent value. It is found out that backward citation indices are strongly correlated the technological diversity of a patent. The paper also suggests that with whom an organization chooses to collaborate affects the attributes of patent quality.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.61-76
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• 2016

This study aims at proposing three prestige indices-closeness prestige, input domain, and proximity prestige- as useful measures for the impact of a particular node in citation networks. It compares these prestige indices with other impact indices as it is still unknown what dimensions of impact these indices actually measure. The prestige indices enable us to distinguish the most prominent actors in a directed network, similar to the centrality indices in undirected networks. Correlation analysis and principal component analysis were conducted on the author citation network to identify the differentiated implications of the three prestige indices from the existing impact indices. We selected simple citation counting, h-index, PageRank, and the three kinds of centrality indices which assume undirected networks as the existing impact measures for comparison with the three prestige indices. The results indicate that these prestige indices demonstrate distinct impact dimension from the other impact indices. The prestige indices reflect indirect impact while the others direct impact.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.249-277
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• 2023

The purpose of this study is to explore the potential contribution of citation metrics to improving the search performance of citation index databases. To this end, the study generated ten queries in the field of library and information science and conducted experiments based on the relevance assessment using 3,467 documents retrieved from the Web of Science and 60,734 documents published in 85 SSCI journals in the field of library and information science from 2000 to 2021. The experiments included re-ranking of the top 100 search results using citation metrics and search methods, query expansion experiments using vector space model retrieval systems, and the construction of a citation-based re-ranking system. The results are as follows: 1) Re-ranking using citation metrics differed from Web of Science's performance, acting as independent metrics. 2) Combining query term frequencies and citation counts positively affected performance. 3) Query expansion generally improved performance compared to the vector space model baseline. 4) User-based query expansion outperformed system-based. 5) Combining citation counts with suitability documents affected ranking within top suitability documents.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.3-6
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• 2014

국내 인용 데이터베이스에서도 해외와 마찬가지로 저널 영향력 지수가 핵심 지표로 제공되고 있으며 저널 평가나 연구성과 평가의 기준 지표로 사용되는 경향이 확산되고 있다. 그러나 국내 저널에서는 논문이 발표된 당해년도에 인용되는 비율이 해외에 비해서 높기 때문에 이를 반영하지 않는 영향력 지수는 국내 저널에 대해서는 더 불완전한 지수라고 할 수 있다. 이 연구에서는 여러 해에 걸쳐 발행된 논문이 특정 연도에 인용된 횟수로 평가하는 저널 영향력 지수와 달리, 특정 연도에 발행된 논문이 여러 해에 걸쳐 인용된 횟수로 평가하는 통시적 영향력 지수의 개념과 산출방법을 알아보고 정보관리학회지를 대상으로 시험 측정한 결과를 살펴본다.

• Journal of the Korean Society for information Management
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• v.18 no.1
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• pp.85-104
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• 2001

The purpose of the study is to investigate the international standings of Korean medical journals and to provide a concrete journal evaluation data. The SciSearch database was searched for the 7,779 papers published in 8 Korean medical journals between 1989 and 1998. The frequency of citation to each journal was measured for each year, and the journal impact factor was calculated from 1991 to 1999 exactly as it is calculated in the Jour~~lnl Citation Reports (JCR). The Korean-language journals were rarely cited in SCI, even though the journals were of the medical areas where Korean researchers published a great deal of SCI papers. The number of citations to English-language journals started to grow from 1994 and increased rapidly from 1997. The citation interval is getting shorter, resulting in the drastic increases in the impact factors in the recent years. The nine-year averages of impact factors of the journals were distributed between 0.002 and 0.126. The international standings of Korean medical journals are very poor. When the impact factors were compared to those of SCI journals in the same subject category, Korean-language journals fell below the last SCI journals ranked by the impact factor, and the English-language journals were at the bottom among the SCI journals. The impact factors of 3 English-language Korean medical journals were about 2.0 when they became SCI journals in the late 1990s.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.59-80
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• 2023

Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.