• 한국의학학술지인용정보
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• s.2000
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• pp.1-13
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• 2002

• 한국의학학술지인용정보
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• s.2000
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• pp.14-18
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• 2002

• 한국의학학술지인용정보
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• s.2001
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• pp.1-11
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• 2002

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.493-510
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• 2019

The purpose of this study is to lay the groundwork for internationalization of domestic journals in the field of Library and Information Sciences (LIS). This study analyzed the characteristics and trends of 7,302 papers from 38 SSCI journals and 768 papers from 4 domestic journals in LIS. Results show the publication and citation counts of domestic journals to be more evenly distributed than those of international journals, which suggests the presence of core international journals. In addition, citation rates and co-authored papers of international journals are shown to be much higher than that of domestic journals, suggesting that international journals publish research papers of higher impact and collaboration.

• Journal of Korean Library and Information Science Society
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• v.50 no.3
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• pp.23-47
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• 2019

In order to ascertain disciplinary differences in publication patterns that can help improve assessment of research performance in Korea, we analyzed the bibliometric data of six disciplines from Korea Citation Index. Results showed differences in research size, competitiveness, productivity, impact, and collaboration among disciplines. Disciplines in science were the largest in terms of author and institution followed by humanities and social science, but humanities produced the most publications per author, followed by social science and science disciplines. Sociology publications received most citation per paper but humanities received most citations per author, which was greatly influenced by the number of co-authors per paper. Distribution of author counts per paper varied widely across disciplines. Humanities were dominated by single-author publications, whereas the majority of publications in sciences were co-authored. The study also highlighted differences in citation lag time and illustrated differences in distribution and impact of core authors and institutions across disciplines.

• 한국벤처창업학회:학술대회논문집
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• 2020.06a
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• pp.69-74
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• 2020

본 연구는 국내 앙트러프러너십 교육 연구의 역사와 흐름을 파악하고 국내 앙트러프러너십 교육의 문헌분석을 통해 교육의 성과를 분석하는 것을 목적으로 하고 있다. 국내의 앙트러프러너십 교육은 일반적으로 '기업가정신 교육'이나 '창업교육'과 같은 의미로 사용되고 있으며, 본 연구에서는 보다 정확한 의미전달을 위해 앙트러프러너십 교육으로 표기하였다. 국내 앙트러프러너십 교육에 대한 메타분석을 위해 2010년부터 가장 최근 논문인 2020년 5월까지의 논문을 수집하여 선별하고 분석하였으며, 한국학술지인용색인(KCI)에 공식적으로 등재된 학술지 1,662편중에서 최종적으로 27편을 선정하여 분석하였다. 국내 학술지 논문을 수집하기 위해 KCI(한국학술지인용색인), DBpia(누리미디어), KISTI(NDSL), eArticle(학술교육원), KISS(한국학술정보), 교보문고(스콜라), RISS(한국교육학술정보원), 코리아스콜라의 데이터베이스를 활용하였다. 주요 검색어로는 앙트러프러너십 교육, 창업교육, 창업의지, 커리큘럼, 창업교육 성과, 기업가정신, 메타분석, entrepreneurship education, entrepreneurship intention, entrepreneurship curriculum, meta 등의 키워드를 혼합하여 사용하였다. 본 연구는 메타분석을 사용하여 앙트러프러너십 교육의 성과를 어떠한 조건에서 관계가 더 효과적이거나 덜 효과적인지에 대해 증거기반으로 다양한 변인을 체계적으로 분석하였다. 본 연구는 국내 앙트러프러너십 교육과 관련된 실증연구들을 종합적으로 분석하여 앙트러프러너십 교육의 성과에 대하여 유일하게 진행하는 연구로서 의의를 가진다. 최근 들어 더 증가하고 있는 국내 앙트러프러너십 교육의 필요성을 재고하고 더 실제적인 효과와 교육 프로그램 개선에 기여할 수 있기를 기대한다.

• New & Renewable Energy
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• v.16 no.4
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• pp.33-40
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• 2020

The research topics of more than 1,900 wind energy papers registered in the Korean Journal Citation Index (KCI) were modeled into 25 topics using latent directory allocation (LDA), and their consistency was cross-validated through principal component analysis (PCA) of the document word matrix. Key research topics in the wind energy field were identified as "offshore, wind farm," "blade, design," "generator, voltage, control," 'dynamic, load, noise," and "performance test." As a new method to determine the similarity between research topics in journals, a systematic evaluation method was proposed to analyze the correlation between topics by constructing a journal-topic matrix (JTM) and clustering them based on topic similarity between journals. By evaluating 24 journals that published more than 20 wind energy papers, it was confirmed that they were classified into meaningful clusters of mechanical engineering, electrical engineering, marine engineering, and renewable energy. It is expected that the proposed systematic method can be applied to the evaluation of the specificity of subsequent journals.

• 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 information Management
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• v.30 no.2
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• pp.227-243
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• 2013

The purpose of this study is to verify the correlation between the appearance frequency of author keyword and the number of citation in journal articles. In this study, we were trying to develop a methodology that can select the term having semantic relation with other terms and higher utilization to build a structured scientific glossary. In order to achieve this purpose, we analyzed the number of citation and the author keyword of the humanities and social science journal articles of the Korea Citation Index (KCI) from 2007 to 2011. This study found a correlation between appearance frequency of author keyword and the number of citation of the journal articles, with higher appearance frequency of author keyword of the journal articles being more cited.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.45-67
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• 2015

The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.