• Journal of the Korean Society for Library and Information Science
• /
• v.52 no.4
• /
• pp.71-90
• /
• 2018

The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

• Journal of the Korean Society for information Management
• /
• v.32 no.4
• /
• pp.77-106
• /
• 2015

By document co-citation analysis with Korean Citation Index (KCI) data, this study accurately identified the research fronts and hot topics in Korean library and information science (LIS) from 2004 to 2013. 159 core papers in LIS domain and their citations are scraped manually from Korean Citation Index web site. In the cluster analysis and network analysis, 159 core papers were grouped into 27 clusters with multiple papers and 8 singlton clusters. Among the 27 clusters which have multple papers, 'LIS education' cluster was the largest with 16 core papers, and 'citation analysis & intellectual structure analysis' cluster had the strongest citation impact according to the ehs-index. Closer observation of the citations to the core papers in each research front showed that 67.5% of the citations were made by LIS research papers and 32.5% of the citations were made by non-LIS research papers. Considering the share of citations and the citation impact growth index, 'local documentation', 'citation analysis & intellectual structure analysis', and 'research trends analysis' were identified as the most emerging research front in Korean library and information science. The analytical methods used in this study have great potential in discovering the characteristics of research fronts in Korean interdisciplinary research domains.

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

• Journal of the Korean Society for Library and Information Science
• /
• v.57 no.3
• /
• pp.351-379
• /
• 2023

The goal of this study is to investigate the domestic and international research trends on metaverse related researches. To achieve this goal, a set of 913 journal articles were collected from KCI (Korea Citation Index), 232 articles from WoS (Web of Science), and 277 articles from WoS-CPCI (Conference Proceeding Citation Index). A descriptive analysis shows the number of researches has been increased radically, and the mostly researched subject areas are interdisciplinary, computer science, and education in KCI, business and economics in WoS, and computer science in WoS-CPCI. The co-occurrence network analysis using author keywords revealed that technology related terms such as virtual reality and augmented reality showed high centrality measures in all of the databases, and the cluster analysis resulted in education and metaverse platform related keywords cluster from KCI, bibliometric analysis related keywords cluster from WoS, and all the metaverse technology related keywords cluster from WoS-CPCI.

• The Korean Journal of Health Service Management
• /
• v.13 no.4
• /
• pp.1-8
• /
• 2019

Objectives: This study is prepared to understand the past of the KJHSM (Korean Journal of Health Service Management), to analyze the papers in the KJHSM, to identify the research trends during 2007~2018, and to help the future development of research. Methods: The data for the objectives was collected major KCI index and key words of the articles in KCI web site. Results: The KJHSM has good performaces that KCI IF(2 year) is 0.98, Centrality Index(3 Year) is 1.188, Immediacy index is 0.19, and Self Citation Rate(2 Year) is 25.81. Conclusions: In order to improve the academic quantity and quality in the KSHSM, we will need the vision to corporate and participate through more good research results and performance with desirable ethic value.

• Journal of the Korean Data and Information Science Society
• /
• v.25 no.2
• /
• pp.317-325
• /
• 2014

Evaluating contents and quality of the journal along with the research ability of researcher is becoming an important issue recently. This research compared level of impact of the journals related to statistics in nation, 'Journal of the Korean Data & Information Science Society'-centric, using various KCI citation index. Moreover, this research surveyed network between the journals in the aspect of social network analysis, using co-citation frequency. From that, the following conclusions were drawn. First, percentage of self-citation was relatively high. Second, even though Statistics journal had higher impact index than the mathematics, physics and chemistry, frequency of citing statistics journal in other journals was not that high. Third, 'Journal of the Korean Data & Information Science Society' serves central role in network analysis, however it seems that more efforts are required.

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

• International Journal of Contents
• /
• v.11 no.1
• /
• pp.52-61
• /
• 2015

In the past decade, East Asian Research has received attention from researchers as well as in South Korea society-at-large. The broad category of East Asian Research includes various disciplinary fields, such as "history, economics, and politics; however, few studies have used quantitative analysis to explore its development. In this paper, we used network analysis to identify the disciplines and active research areas, focusing on productivity, collaboration patterns, and citation networks of East Asian Research in South Korea. For this study, 6,646 journal publications related with East Asian Research and indexed by KCI (Korean Citation Index) during the 10-year period of 2004-2013 were considered. Results show that East Asian Research was led during this period by sole-researchers, rather than interdisciplinary studies. Moreover, a co-institution network represents active institutions with a high degree and collaborative centrality. In terms of journal-journal citation networks, journals belonging to both "history" and "Korean literature" disciplines were dominant.

• Journal of the Korean Society for Library and Information Science
• /
• v.48 no.4
• /
• pp.297-322
• /
• 2014

The purpose of this study is to analyse the meaning and lexical morpheme of author keywords of humanities, social sciences, and art and sport in the Korea Ciation Index (KCI) and to propose a conceptual taxonomy of the author keywords. Four top-level concept categories such as 'Substance, Abstraction, General/Common, and Object' are replaced by seven more concrete categories such as 'object, action/function, property, theory/method, format/framework, general/common, and Instance'. In the middle and lower-level concept categories, the hierarchical structure is simplified and the unbalance of term distribution is reduced by creating, subdivision, integration, elimination, and movement of the categories. The result of the test based on the STNet shows that the replaced taxonomy of concept categories has the effects of making the term allocation more balanced and properties of terms more detailed.

• Journal of Korean Library and Information Science Society
• /
• v.48 no.1
• /
• pp.191-206
• /
• 2017

The purpose of this study is to compare the characteristics of research collaborations in the field of LIS. While there are several studies under the unit of analysis of country, there are only a few studies under the unit of analysis of institution in LIS field. For this analysis, we selected eight journals in the KCI (Korea Citation Index) web site, which correspond to the field of LIS through subject classification. The collaborative indices, Collaborative Coefficient, Co-Authorship Index, Local Collaborative Index (LCI), Domestic Collaborative Index (DCI) allowed us to comparatively analyze institutional collaboration patterns in LIS field. In the case of Chung-Ang University, Yonsei University, and Ewha Womans University, collaborative research among professors, graduate students, and professors reflected the fact that collaborations among universities are often performed with professors. In the case of KISTI, which showed a very high index value, the characteristics of project-based research are reflected in the research collaboration pattern.