• Journal of the Korean Society for Library and Information Science
• /
• v.28
• /
• pp.109-133
• /
• 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
• /
• v.28 no.4
• /
• pp.541-544
• /
• 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
• /
• v.2 no.2
• /
• pp.194-211
• /
• 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 Korean Library and Information Science Society
• /
• v.30 no.2
• /
• pp.155-178
• /
• 1999

Ciatation analysis is a information analysis method based on the phenomenon of citing previous documents in the source document. There are many well-known studies exploring citation analysis and it applications. This paper does not attempt to review this extensive area of applications, but to demonstrate the sociological aspect of citation analysis. Specifically, this paper have reviewed the citation analysis as a quantitative method for the studies of sociology of knowledge. For this, I have described various basic methods such as citation behavior, citation count, impact factor, citation relationship etc. And I have classified into four applied areas of sociology of knowledge; (1) flow of knowledge resources, (2) evaluation of knowledge resources, (3) evaluation of knowledge community, and (4) utilization in terms of knowledge policy. Finally, I have clarified the some limitations and shortcomings of citation analysis that have addressed by citation and citation analysis itself.

• Journal of Information Science Theory and Practice
• /
• v.6 no.2
• /
• pp.6-23
• /
• 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)
• /
• v.8 no.12
• /
• pp.4467-4488
• /
• 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
• /
• v.6 no.1
• /
• pp.85-93
• /
• 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.

• Journal of the Korean Society for information Management
• /
• v.22 no.2 s.56
• /
• pp.23-39
• /
• 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 Korean Institute of Industrial Engineers
• /
• v.42 no.3
• /
• pp.182-197
• /
• 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.

• Journal of Digital Convergence
• /
• v.14 no.9
• /
• pp.301-308
• /
• 2016

Writing high-quality papers and publishing them at prestigious academic journals would be something that every scholar strives for. This study made a network with nine academic journals in South Korea in the field of public administration and public policy and analyzed the influence of academic journals through social network analysis. Using centrality measures, such as degree centrality, beta centrality, and eigenvector centrality, this study found that Korean Public Administration Review has the highest influence on the journal network, followed by Korean Public Studies Review. However, different choice of centrality measure led to different ranking of journals in terms of their influence.