• STIMA Bulletin
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• s.2
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• pp.46-59
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• 2005

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.33-50
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• 2013

The purpose of this study was to identify differences between KCI and Naver Scholar as citation analysis tools. Four subcategories in the humanities category were selected as the subject of study. The recall of Naver Scholar was 64%(2,227 times) and the KCI's was 77%(2,665 times). There were some differences in the results at the individual article level or the subcategory level, but the gaps were not significant. Therefore, researchers who analyze citations are urged to use both databases because neither of them are complete, but supplementary to each other.

• Journal of the Korean Society for information Management
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• v.22 no.2 s.56
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• pp.23-39
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• 2005

The purpose of this study was to analyzes the present conditions of reference databases which is constructed from Korea. The object which is used in analysis concludes on KSCI( Korean Science Citation Index) of KISTI, KCI(Korean Citation Index) of KRF, KoMCI(Korean Medical Citation Index) of Korean Academy of Medical Sciences, and reference database of KOSEF. And then, this paper proposes the activation plan for reference database construction based on this analysis result. The proposed plan will be able to apply with fundamental data of the system, policy and technical direction for reference database construction.

• 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).

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.15-18
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• 2016

전 세계적으로 부는 한류열풍으로 인해 우리나라에 대한 관심이 증대되고 있으며 이에 따른 한류 관련 연구의 수 또한 증가하고 있다. 따라서 본 연구에서는 한류 연구의 핵심 문헌을 선정하고 이를 대상으로 동시인용 분석을 수행하여 한류 연구의 지적구조를 파악하고자 하였다. 이를 위하여 KCI 인용 데이터베이스에서 국내 한류 연구 문헌 116건과 2,042건의 인용정보를 수집하였다. 문헌동시인용기법을 활용하여 분석한 결과 한류 연구 영역을 한류의 파급효과와 영향력 관련 영역, 한류의 정체성 관련 영역으로 2개의 대군집과 5개의 중군집으로 구분 지을 수 있었다.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.115-134
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• 2012

The author co-citation analysis is generally based on the frequency of the first author because most citation databases include only the first author in the bibliographic information. In this sense, the purpose of this study is to provide a better knowledge structure by utilizing the multiple authorship of author co-citation analysis. To achieve the purpose of this study, four different data sets are prepared: (1) counting the first author, (2) counting all the author without limiting the total frequency, (3) counting all the author with limiting the total frequency, and (4) counting adjusted frequencies based on the order of author subscription. The findings of this study show that there are clear differences between the knowledge structure counting all the author and the one counting only the first author. In addition, depending on the different methods, there are subtle changes of cluster members for authors.

• Journal of Information Management
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• v.41 no.1
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• pp.43-67
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• 2010

We examine several citation information services to analyze their functional items and resources as interests and concerns on citation information services have been increasing. Based on our analysis, we suggest a blueprint and model for national citation information services. As a result, We find that there are different service items and resources among the type of the citation information services. We also suggest three principles and personal services scenarios for developing national scholarly information service using citation information. And expert survey shows the priority of the services. This study would be a fundamental material for drawing big pictures on national citation information services.

• 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.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.357-379
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• 2010

The citation analysis is not applied to group measurements but to individual papers finding their impact factors among citation chains which are created by tracing citing-cited relationship between any two papers in data set. The individual impact factor is measured by adding each value derived from citation chain. Each paper's impact factor index is calculated by adding the values of each index by direct citing-cited relationship, and the values of each impact factor made by indirectly influencing to the papers in the citation chain. The research introduces a grace period, in which the system holds the papers not cited by other papers yet, but are expected to be cited within this period. Eventually not cited papers after the grace period would be eliminated by the system. The experiment suggests a reasonable database in which the highly influenced papers are gathered, and could be serviced in stead of buying databases filled with worthless not-cited-papers.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1343-1351
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• 2012

In this study, trends for five research areas of LED(Light Emitting Diode), OLED(Organic Light Emitting Diode), LCD(Liquid Crystal Display), PDP(Plasma Display Panel) and CRT(Cathode Ray Tube) are investigated using bibliometric analysis. The papers and patents citation data were extracted from Scopus and USPTO databases, respectively. We could figure out the research trends by the number of publications and citation information. We prospect the current interests and future trends by investigating the development process of the 5 research areas as function of time.