• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.165-174
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• 2021

The purpose of this study is to compare the differences in national R&D research outcomes in science and technology according to gender. For this purpose, the analysis was conducted by mapping WoS SCI(E) papers from 1990to 2018 and NTIS R&D papers from 2007 t0 2016. As a result of examining the differences in research achievements in science and technology according to gender based on three bibliometic indicators - average Times cited, Time-lag, and Impact factor - we found that the overall topography of research achievement was still male-centered, and the differences in the main research area between male and female were also very prominent. On the other hand, in top 10 research areas, it was confirmed that female researchers' outcomes were higher in the number of Times cited and Impact factor.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.35-52
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• 2017

This paper aims to explore the citation patterns of conference papers in 'Information Science' discipline and to analze impacts of various cited works-related factors on future citations of conference papers. Existing bibliometric studies has investigated citation patterns and the statistical relations between a variety of bibliographic factors and the future citations of literature. However, the attentions have been focused largely on journal articles, and the bibliometric studies targeting conference papers are still in an infant stage. Therefore, this study, which is based on 1,904 conference papers in 'Information Science' field, examined several citation patterns and the contributions of the factors about cited works - the number of cited works, type of cited works, citation rates and ages of cited works at the time of being cited and the rate of self-citedness - to the future citation of the citing target articles. The data source of this study including the properties of target articles and cited works and citation rates of target articles was Scopus. As the results, 53% and 29% of the cited works were conference papers and journal articles, respectively. 14% of them are non-traditional types such as web pages, technical reports, patent, etc. More than 60% of the cited works were 5 years old or less. Among several factors considered in this paper, the number of conference papers and the number of non-traditional types of works are the most contributing factors on the citation rates of target articles. The recency of the cited works is also significant contributor on the citation rates of target articles. That is, the target articles citing more conference papers and non-traditonal types of works earned more citations. The target articles citing recent works also earned more citations.

• Journal of Information Management
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• v.35 no.1
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• pp.93-112
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• 2004

This study is intend to analyze the cited patent life time of US patent data via more objective way. It is based on exploratory approach which is one of various methods for technology forecasting. The life spans of cited patents of specific technological field are deduced from using informetric analysis of USPA database of KISTI, which is composed of US patent data covered from 1972 to present. The statistics of the results may help to estimate the economic life span of the specific technological area for technology valuation.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1057-1088
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• 2017

This research has attempted to conduct meta-analysis on 605 published papers in the field of socio-nuclear studies from 1957 to 2016 in Korea through network analysis of author-provided keywords. The findings lead to several straightforward conclusions. First, socio-nuclear studies including policy research have mostly been conducted by universities, while technology developments have been led by public organizations. Second, it is apparent that the Fukushima accident has provoked major engagement among social scientists in nuclear issues as the remarkable growth of the knowledge network after 2011 signify. Third, the research topics have been diversified as a result of growing multi-disciplinary research projects. Finally, there is between sub communities in the socio-nuclear knowledge network in terms of network properties. This article provides a stepping stone for future researchers with a wealth of information concerning the status of socio-nuclear studies. For policy makers, this meta-analysis is likely to provide guidance on what we need and do not need. It remains to be seen whether the socio-nuclear knowledge network in Korea is well-structured or not. provide an impetus for comparative studies with overseas cases in order to evaluate the network and its soundness.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.215-218
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• 2000

본 연구는 계량서지학적 측정을 통해 국내 문헌정보학자들의 연구동향을 규명하기 위하여, 국제적으로 가장 영향력 있는 사회과학분야 학술지에 대한 대표적인 인용색인 데이터베이스인 SSCI에 게재된 논문을 대상으로 다양한 관점, 즉 저자별, 주제별, 저널별. 출신학교별, 소속대학별, 연도별, 연령별, 핵심전공주제별, 핵심저자별 및 핵심저널별로 분석하였다. 본 연구는 향후 국내 문헌정보학의 국제화 및 이에 따른 연구방향을 제시하는데 유용할 것으로 본다.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.169-190
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• 2021

Research in various academic fields using network analysis techniques has been conducted and grown. This study performed bibliographical analysis and content analysis on a total of 2,187 network analysis papers published in journals from 2003 to 2021. The results showed that the fields of Pedagogy, Interdisciplinary Research, Computer Science, Library and Information Science, Public Administration, and Business Administration were higher in terms of the number of research papers. From the perspective of journal, mega-journals were indicated as the most productive journals. However, when looking at the impact based on the number of citations, the strength of Public Administration, Library and Information Science, and Pedagogy is clearly revealed. The results of the analysis by authors can also confirm the higher impact of Journalism, Public Administration Science, and Library and Information Science. Of the 1,537 authors identified, very few authors are active in research, confirming the need to expand the researcher base. The results of content analysis showed that the weighted and non-directional network was the most common network type with using the research papers as a data set. Generally nodes are expressed as words and links are expressed as relationship. For network analysis, the use of KrKwic, UCINET, NetMiner, and NetDraw is the most prominent.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.39-52
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• 2021

The global water shortage is getting more attention by global climate change. And water demand rapidly increases due to industrialization and population growth. Desalination technology is being expected as an alternative water supply method. Desalination technology requires low energy or maintenance costs, making it a competible next generation technology, with examples such as forward osmosis (FO), membrane distillation (MD), capacitive deionization (CDI), and electrodialysis (ED) to compete with reverse osmosis (RO). In order to identify recent research trends in desalination technologies (FO, MD, RO, CDI, and ED) between 2000-2020, a bibliometric analysis was conducted in the current study. The number of published papers in desalination technology have increased in Desalination and Journal of Membrane Science mainly. Moreover, it was found that FO, MD, RO, CDI, and ED technologies have been applied in various research areas including electrochemical, food processing and carbon-based material synthesis. Recent research topics according to the desalination technologies were also identified.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.85-108
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• 2013

This paper introduces a new qualitative measurement indicator, Relatively Rank-normalized Impact Factor ($R^2nIF$) that can overcome drawbacks of the existing research performance measures. With the help of this innovative indicator, this study analyzes and compares the quality of research papers across countries and National Science Indicators (NSI) standard academic fields. The development of an improved bibliometric indicator for evaluating the quality of research papers and disentangling the "international" dimension of research performance will be of interest to academics and practitioners alike.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.103-124
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• 2016

This study aims to investigate the research trends of disaster in Korea through a bibliometric analysis. To do that, it analyzed 772 scholarly articles published from 2002 to 2016, retrieved from KCI (Korean Citation Index) database. For analysis, discipline profiling analysis, journal profiling analysis, and co-word analysis methods were used. The study found that the number of scholarly articles on disaster has increased, especially after Sewol ferry disaster occurred in 2004. The major discipline areas were identified as 'policy sciences/public administration' area, 'engineering' area, 'GIS/telecommunication' area, and 'medical/humanities/social sciences' area. In terms of time series, the proportion of scholarly articles published in 'policy sciences/public administration' area has decreased since 2014 and at the same time, discipline areas have been diversified including law, medical, and journalism.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.65-100
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• 2014

We tried to find out the technological innovation properties of the National Research and Development Projects (NRDPs) through scientometric analysis of patent data generated by the NRDPs. The distribution of technology groups in patent data shows that NRDPs are highly focused on the Information Technology(IT) group. The Relative Cites Index(RCI) analysis implies that the Biotechnology(BT) group will emerge in the future. The Relative Family Indices(RFIs) are high among the high technological impact groups such as BT and IT. We defined new measures related with technological convergence and collaborativenessopenness relations among R&D agents. Using network analysis techniques, we analysed the absorption-derivation relations among technology groups and the opennesscollaborativeness relations among R&D agents. Recently, both the share of hetero-plural technology groups and the collaboration among different R&D agents are increasing.