• 한국문헌정보학회지
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• 제28권
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• pp.109-133
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• 1995

This study assessed citation analysis results in light of their usefulness for national scientific and technical information (STI) policy formulation and review in Korea. using electrical and electronics engineering field as a case. After brief summary of citation analysis results was presented. current Korean STI policy was reviewed. which aims at establishing national STI sharing system by constructing many STI databases and information networks. Citation analysis results were discussed in light of their significance for Korean databases and information network construction and for use of informal networks such as E-Mail and invisible colleges. The problem of access to current information was also reviewed. Some recommendations were made to policy makers. which include creation of a centralized national STI center: development of guidelines for effective utilization of STI networks and STI; and. standardization of information processing technology and support for the automation of information centers and libraries. Based on the literature review. the best possible way of presenting recommendations to policy makers was examined. It was concluded that citation analysis could be a useful methodology for STI policy formulation and review when reliability and validity of the study is assured and the samples well represent the population of scientists and engineers. Finally recommendations for further research were offered.

• ETRI Journal
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• 제28권4호
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• pp.541-544
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• 2006

From its foundation until 2004, ETRI has registered over 1,000 US patents. This letter analyzes the characteristics of these patents and addresses the explanatory factors affecting their citation counts. For explanatory variables, research team related variables, invention specific variables, and geographical domain related variables are suggested. Zero-altered count data models are used to test the impact of independent variables. A key finding is that technological cumulativeness, the scale of invention, outputs in the electronic field, and the degree of dependence on the US technology domain positively affect the citation counts of ETRI-invented US patents. The magnitude of international presence appears to negatively affect the citation counts of ETRI-invented US patents.

• Asian Journal of Innovation and Policy
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• 제2권2호
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• pp.194-211
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• 2013

This paper introduces the Korea Citation Index (KCI) and also some macro statistics of KCI. KCI started service since 2008 by the National Research Foundation of Korea (NRF), but the data has been gathered from 1998. Our findings are as follows: heavy reliance on books in humanities, but papers as the main reference in all other disciplines. Impact factor is an increasing trend in all disciplines. Social science has the highest impact factor among all fields. In some fields even in science and engineering areas, there are more KCI papers than Korean JCR papers and impact factors of the KCI are higher than JCR. As for the distinction between nationally and internationally fields or journals, some disciplines in social science are clearly nationally oriented. NSE journals listed in both KCI and JCR, however, are not clear in terms of impact factor, but clear in terms of the numbers of papers.

• 한국도서관정보학회지
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• 제30권2호
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• pp.155-178
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• 1999

인용분석은 원문헌에서 선행문헌들을 인용하는 현상에 근거하는 정보분석 방법이다. 인용분석과 그 응용에 대해서는 여러가지 잘 알려진 연구가 많이 있다. 이 논문은 이러한 광범위한 응용영역에 대한 검토보다, 인용분석의 사회학적 측면을 설명하고자 한다. 특히, 이 논문은 지식사회학을 연구하는 계량적 방법으로서 인용분석의 유용성을 검토하게 된다. 이를 위해, 인용행태, 인용계수, 영향요인, 인용관계 둥을 파악하는 기본방법들을 기술하였다. 그런 다음 지식사회학의 네가지 응용영역을 구분하여 제시하고 있다: (1) 지식자원의 유통, (2) 지식자원의 평가, (3) 지식공동체의 평가, (4) 지식정책적 활용. 마지막으로 이 논문은 인용분석의 한계와 결점을 인용과 인용분석 그 자체로 나누어 설명하고 있다.

• Journal of Information Science Theory and Practice
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• 제6권2호
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• pp.6-23
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• 2018

Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for more efficient access to cross-referenced scholarly publications, grants, patents, and clinical trials. As a new addition to the growing open citation resources, it offers opportunities that may benefit a wide variety of stakeholders of scientific publications, from researchers and policy makers to the general public. In this article, we explore and demonstrate some of the practical potentials in terms of cascading citation expansions. Given a set of publications, the cascading citation expansion process can be iteratively applied to a set of articles so as to extend the coverage to more and more relevant articles through citation links. Although the conceptual origin can be traced back to Garfield's citation indexing, it has been largely limited, until recently, to the few who have unrestricted access to a citation database that is large enough to sustain such iterative expansions. Building on the open application program interface of Dimensions, we integrate cascading citation expansion functions in CiteSpace and demonstrate how one may benefit from these new capabilities. In conclusion, cascading citation expansion has the potential to improve our understanding of the structure and dynamics of scientific knowledge.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4467-4488
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• 2014

The bibliometric analysis is widely used for understanding research domains, trends, and knowledge structures in a particular field. The analysis has majorly been used in the field of information science, and it is currently applied to other academic fields. This paper describes the analysis of academic literatures for classifying research domains and for suggesting empty research areas in the telecommunications policy. The application software is developed for retrieving Thomson Reuters' Web of Knowledge (WoK) data via web services. It also used for conducting text mining analysis from contents and citations of publications. We used three text mining techniques: the Keyword Extraction Algorithm (KEA) analysis, the co-occurrence analysis, and the citation analysis. Also, R software is used for visualizing the term frequencies and the co-occurrence network among publications. We found that policies related to social communication services, the distribution of telecommunications infrastructures, and more practical and data-driven analysis researches are conducted in a recent decade. The citation analysis results presented that the publications are generally received citations, but most of them did not receive high citations in the telecommunications policy. However, although recent publications did not receive high citations, the productivity of papers in terms of citations was increased in recent ten years compared to the researches before 2004. Also, the distribution methods of infrastructures, and the inequity and gap appeared as topics in important references. We proposed the necessity of new research domains since the analysis results implies that the decrease of political approaches for technical problems is an issue in past researches. Also, insufficient researches on policies for new technologies exist in the field of telecommunications. This research is significant in regard to the first bibliometric analysis with abstracts and citation data in telecommunications as well as the development of software which has functions of web services and text mining techniques. Further research will be conducted with Big Data techniques and more text mining techniques.

• Asian Journal of Innovation and Policy
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• 제6권1호
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• pp.85-93
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• 2017

This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

• 정보관리학회지
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• 제22권2호
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• pp.23-39
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• 2005

본 연구의 목적은 국내에서 구축되고 있는 참고문헌 데이터베이스의 현황을 분석하여 문제점을 밝히고, 이들 문제점을 토대로 정보원으로서의 기능과 평가도구로서의 기능을 적절하게 수행할 수 있는 참고문헌 데이터베이스를 구축하기 위한 활성화 방안을 제언하는데 있다. 이를 위하여 국내에서 구축되는 참고문헌 데이터베이스 가운데 전문연구정보센터에서 구축하는 참고문헌 DB, 한국과학기술정보연구원의 KSCI, 학술진흥재단의 KCI. 대한의학회의 KoMCI를 연구대상으로 분석하였다. 이를 근거로 국내 참고문헌 데이터베이스 구축 사업을 위한 방안을 도출하여 제시하였다. 이들 자료는 참고문헌DB 구축을 위한 제도 및 정책, 기술적 방향을 제시하는데 근거자료로 활용할 수 있을 것이다.

• 대한산업공학회지
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• 제42권3호
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• pp.182-197
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• 2016

One of the distinctive characteristics of industrial engineering (IE) is its multidisciplinarity. This paper explores the multidisciplinary nature of IE using journal citation network analysis. Using the relatedness indexes of IE journals obtained from journal citation report (JCR), we firstly construct the IE network only composed of 26 IE journals. The resulting IE network is partitioned into three sub-networks: management engineering, manufacturing/quality, and ergonomics. We then propose the IE convergence network which includes 81 related journals in other disciplines as well as 26 IE journals. Scrutinizing the IE convergence network reveals that IE has a high degree of interactions with seven disciplines : Operations Research and Management Science, Statistics and Probability, Manufacturing Engineering, Computer Science, Engineering Design, Business Management, Human Factors and Ergonomics. We investigate the contributions of the related disciplines to IE as well as contributions of IE to the related disciplines. The role of IE journals in exchanging knowledge with related disciplines is also identified by brokerage analysis. It is shown that visualizing and analyzing the IE convergence network can provide an excellent overview of the multidisciplinary structure of IE, which can help IE researchers easily grasp the state-of-the art of IE research.

• 디지털융복합연구
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• 제14권9호
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• pp.301-308
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• 2016

양질의 논문을 생산하고 자신의 논문이 저명한 학술지에 게재되어 보다 큰 영향력을 가지는 것은 모든 연구자들이 원하는 바라고 할 수 있다. 이 논문은 사회연결망분석을 통해 행정학과 정책학 분야의 일반학술지 9개를 선정하여 네트워크를 구성하고 이 9개 학술지들 간의 상호인용분석을 통해 각 학술지들이 네트워크상에서 가지는 영향력을 분석하였다. 네트워크상에서의 영향력에 대해 각각 의미하는 바가 다른 연결중심성, 베타중심성, 고유벡터중심성의 3개 중심성지수를 통해 분석한 결과 한국행정학보가 행정학과 정책학분야를 통틀어 가장 큰 영향력을 가지는 학술지로 나타났고 한국정책학회보가 그 뒤를 이었다. 그리고 중심성지수의 선택이 달라질 때 마다 학술지들이 가지는 영향력 순위가 달라지는 경향을 보였다.