• Korean Journal of Computational Design and Engineering
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• v.18 no.5
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• pp.309-320
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• 2013

Augmented reality (AR) is considered to be an excellent user interface to a 3D information space embedded within physical reality. For this reason, it has been applied to various applications such as design, medical service, interaction, and collaboration. However, there is no formal way of analyzing the research trend and evolution of augmented reality. This paper identifies the research trend and change in augmented reality (AR) via co-citation analysis. The co-citation analysis provides how the AR research has evolved, who are main contributors, and which papers suggest essential and influencing impact. To systematically analyze the cocitation, we have retrieved 1,145 papers from the Web of Science and applied a scientomertric analysis using CiteSpace. Based on the co-citation analysis of authors and documents, it is possible to analyze the evolution of augmented reality, key authors and papers, and breakthroughs. We have also compared the proposed approach with survey papers written by experts so that the result of the co-citation analysis can compromise the qualitative result done by experts, and thus it can provide a different view and insight for visualizing the research on augmented reality.

• Bioinformatics and Biosystems
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• v.2 no.1
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• pp.33-36
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• 2007

Scientific literature is the most reliable and comprehensive source of knowledge for scientific and biomedical information. Citation information in the literature is also reliable source for linking between literatures. We proposed CiNet, a graphic user interface based tool that extracts the trend of the research using citation information. We can navigate related literatures and extract keywords from the linked literature using this tool. These extracted keywords will be helpful to researchers who want to survey the information.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.283-306
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• 2010

This study intended to make new suggestions by clarifying usefulness of analysis methodology for the intellectual structure of disciplines, which combines author co-citation analysis and author bibliographic coupling analysis. It also aimed to identify the recent research trend and key researchers recently doing research activities actively as well as the intellectual structure in the field of social welfare. It was found to be more efficient to conduct both author co-citation analysis and author bibliographic coupling analysis in order to identify traditional sub-areas of disciplinary subject or the research trend of actual researchers in examining the intellectual structure of a specific discipline.

• Asian Journal of Innovation and Policy
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• v.2 no.2
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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.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.197-215
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• 2017

Researchers often cite Internet-based information as references for their research papers, and the amount of this type of citation has continued to grow, which resulted in the increased significance of Internet-based academic resources. This study first examines the current trend of citing Internet-based resources in the academic communication process of all academic fields, and then attempts to analyze the factors, such as gender and age, affecting this trend and its consequences in the specific area of LIS in Korea. For this, the author adopt both citation analysis and statistical analysis as research methods. Overall increase of citing internet-based resource is confirmed in all academic fields. Specific analysis of the LIS field revealed that gender is related with the degree of usage, and the age with whether or not adopting this type of citation. Meanwhile, the subject area of the researchers is related with both whether or not adopting this method and the degree of it. This study provides understanding current status of increased utilization of Internet-based resources in academic communications, and further makes suggestions for the effective academic communication of the future.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.7 no.1
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• pp.23-41
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• 1994

The purpose of the present study is to verify the citation trend of the administrative literature in the research papers. I have analyzed the cited literature of major domains and the dependency of domestic literature and foreign literature. In Addition, the half period of literature investigate. And results of this study is to provide information services with own institutes and reference materials.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.7-32
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• 2017

Recently, deep learning has been rapidly spreading as an innovative machine learning technique in various domains. This study explored the research trends of deep learning via modified ego centered topic citation analysis. To do that, a few seed documents were selected from among the retrieved documents with the keyword 'deep learning' from Web of Science, and the related documents were obtained through citation relations. Those papers citing seed documents were set as ego documents reflecting current research in the field of deep learning. Preliminary studies cited frequently in the ego documents were set as the citation identity documents that represents the specific themes in the field of deep learning. For ego documents which are the result of current research activities, some quantitative analysis methods including co-authorship network analysis were performed to identify major countries and research institutes. For the citation identity documents, co-citation analysis was conducted, and key literatures and key research themes were identified by investigating the citation image keywords, which are major keywords those citing the citation identity document clusters. Finally, we proposed and measured the citation growth index which reflects the growth trend of the citation influence on a specific topic, and showed the changes in the leading research themes in the field of deep learning.

• Journal of the Korean Society for Library and Information Science
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• v.23
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• pp.107-125
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• 1992

The purpose of this study is to investigate the research trend of information user studies. The following findings are made. The literature on information user studies during 1980-1990 reveals 120 titles. The faculty members of university tend to publish their results in scientific journals and university publication while non-faculty members are more likely to represent their research papers in unpublished master thesis and bulletin. Subject distribution of research were classified into ten: user studies, material use studies, information needs and uses, user education, library use pattern, citation analysis, journal use, catalog use, information system, non-use study. Survey research, literature research, survey reserch and literature research use jointly, experimental research and citation analysis were employed for information user studies.

• Journal of Information Science Theory and Practice
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• v.2 no.1
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• pp.35-47
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• 2014

Korean researchers' scientific outputs are increasing rapidly with the growth of both Korea's economy and industry size. This is the time to analyze the scientific output (STEM area) of Korea over the last 40 years. For this analysis, this study used the SCIE database of Web of Science (WoS), which is a representative global Citation Index Service. The objects of analysis are every Korean document published in the SCIE journal, and the research scopes are (1) analysis of citation and subject categories and (2) analysis of co-authorship. Through this study, characteristics such as cited trend and research trend by subject, and the status of collaboration between Korea and other countries including the 50 states of the USA were revealed.

• Journal of Korean Neurosurgical Society
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• v.38 no.5
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• pp.403-405
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• 2005

The authors analyzed the citation of Journal of Korean Neurosurgical Society, based on Korean Medical Citation Index[KoMCI] from 2000 to 2004. In this analysis the impact factor showed no significant further improvement in 2004 compared to 2003. However, the number of received citations was increased remarkably. If this increase can be kept up, it may have positive effect on impact factors. In the era of open competition of medical journals, the awareness and cooperations of every members of Korean Neurosurgical Society is essential for improvement of the status of our journal in a steady trend.