• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.201-225
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• 2016

A new technique for revealing the research fronts of a interdisciplinary discipline has been developed. Citation image makers profiling (CIMP) determines the relationships between research papers with the title words of the citing documents. We adapted this new technique to analyze the research fronts and hot topics in women's studies of Korea. By Korean Citation Index (KCI) data in 2015, we selected 148 papers cited more than 9 times as the core documents of women's studies. Analysis of intellectual structure using citation image makers profiling was performed with the 148 core documents and those citing papers. Document co-citation analysis was hindered by citation data sparsity, while CIMP method successfully revealed the structure of research fronts of Korean women's studies including 2 divisions and 6 subdivisions. The CIMP method suggested in this study has good potential to discover the characteristics of research fronts of interdisciplinary research domains.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1353-1362
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• 2012

Many studies have demonstrated that articles from international collaborations are more cited than articles from domestic collaborations. However, difference between the citation impact of international and domestic co-authored papers is supposed to be widened due to the collaboration strategy adopted by individual institute. In short, each institute will show the significantly different citation impact between international and domestic co-authored papers. In this paper, we applied the index of Incremental Ciation Impact(ICI) to identify the different value of citation impact between international and domestic co-authored papers for research institutes of KRCF, results of which will be understood under the strategy of international research collaboration.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.63-77
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• 2011

The World Wide Web is a very large distributed digital information space. From its origins in 1991, the web has grown to encompass diverse information resources as personal home pasges, online digital libraries and virtual museums. Some estimates suggest that the web currently includes over 500 billion pages in the deep web. The ability to search and retrieve information from the web efficiently and effectively is an enabling technology for realizing its full potential. With powerful workstations and parallel processing technology, efficiency is not a bottleneck. In fact, some existing search tools sift through gigabyte.syze precompiled web indexes in a fraction of a second. But retrieval effectiveness is a different matter. Current search tools retrieve too many documents, of which only a small fraction are relevant to the user query. Furthermore, the most relevant documents do not nessarily appear at the top of the query output order. Also, current search tools can not retrieve the documents related with retrieved document from gigantic amount of documents. The most important problem for lots of current searching systems is to increase the quality of search. It means to provide related documents or decrease the number of unrelated documents as low as possible in the results of search. For this problem, CiteSeer proposed the ACI (Autonomous Citation Indexing) of the articles on the World Wide Web. A "citation index" indexes the links between articles that researchers make when they cite other articles. Citation indexes are very useful for a number of purposes, including literature search and analysis of the academic literature. For details of this work, references contained in academic articles are used to give credit to previous work in the literature and provide a link between the "citing" and "cited" articles. A citation index indexes the citations that an article makes, linking the articleswith the cited works. Citation indexes were originally designed mainly for information retrieval. The citation links allow navigating the literature in unique ways. Papers can be located independent of language, and words in thetitle, keywords or document. A citation index allows navigation backward in time (the list of cited articles) and forwardin time (which subsequent articles cite the current article?) But CiteSeer can not indexes the links between articles that researchers doesn't make. Because it indexes the links between articles that only researchers make when they cite other articles. Also, CiteSeer is not easy to scalability. Because CiteSeer can not indexes the links between articles that researchers doesn't make. All these problems make us orient for designing more effective search system. This paper shows a method that extracts subject and predicate per each sentence in documents. A document will be changed into the tabular form that extracted predicate checked value of possible subject and object. We make a hierarchical graph of a document using the table and then integrate graphs of documents. The graph of entire documents calculates the area of document as compared with integrated documents. We mark relation among the documents as compared with the area of documents. Also it proposes a method for structural integration of documents that retrieves documents from the graph. It makes that the user can find information easier. We compared the performance of the proposed approaches with lucene search engine using the formulas for ranking. As a result, the F.measure is about 60% and it is better as about 15%.

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

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.376-378
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• 2018

한국의 과학기술정보 유통 및 분석 전문기관인 한국과학기술정보연구원(KISTI)은 동북아시아 국가들간의 정보 협력과 국제 협력을 위하여 오랜기간 일본과 중국의 정보 유통 전문기관들인 JST와 ISTIC과 함께 CJK(Chinese, Japanese, Korean) 국제회의와 연구협력을 지속해오고 있다. 본 논문에서는 이들 국가간 인용정보를 매개로 하는 새로운 학술정보의 개발을 위한 기초 연구를 수행하여, KSCD 참고문헌에 출현하는 일본 및 중국의 고인용 학술지와 양국간 주제분야별 인용특성을 살펴보고 응용 서비스 사례를 제시하였다.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.269-287
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• 2010

The journal impact factor(JIF) of the Thomson Reuters(ISI) has been widely used to assess the impact of journal as well as its quality. However, the JIF contains its critical limitation, in which it does not measure the impact of journal but the average impact of articles in journal. Besides significant number of problems of the JIF has been noticed. Furthermore, given the limited coverage of domestic citation index database in comparison to those of international citation index, it is necessary to apply a more appropriate index with a high level of discriminating power. This study, therefore, aims to introduce some practical methods to measure the impact of domestic journals by using the Hirsch-type indices. As the Hirsch-type indices has been often used for overcoming the limitations of the JIF in worldwide, we hope that our research outcome offers an effective alternative to gauge the impact of journals more accurately. Consequently, using the variations of the h-index($h_s$-index, $f_s$-index) or the sum of issue level(issue based h-index, issue based f-index), we argue that it would improve the discrimination capacity of the Hirsch-type indices significantly and that we can measure the impact of domestic journals more clearly.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.7-28
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• 2001

The purpose of this study is to investigate the selection mechanism of the Science Citation Index(SCI) in domestic journals. Analysis has been carried out specially on the \"Journal of the Korean Nuclear Society\", which is a leading journal in the nuclear field in Korea. It is published in English and meets the basic standards of technical journal, however, does not meet the SCI selection criteria in many aspects. Major problems are; 1) Small number of research institutes and universities submit articles to the journal. 2) The impact factor is 0.097, far less than 0.764, the average value of SCI, and the rate of self-citation approaches only to 50%. 3) The journal is not distributed to the libraries in universities and research institutes that have nuclear engineering programs in foreign countries. 4) It does not have editor from international communities, only domestic editors serve for the journal. The study made recommendations for ways to be selected by SCI and utilization of this study for selection criteria of SCI.

• 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.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.111-131
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• 2013

This study describes the meaning of and the formula for Kor-$h_T$, which is a modified index built on the tapered h-index by applying 'the ranking according to the number of citations of journals'. This study evaluated the de-duplication rate of index values of Kor-$h_T$ and analyzed the change in the correlation between the index values and evaluation elements using the Korea Citation Index data from 2008 to 2010. Kor-$h_T$ is compared with h-index, tapered h-index, and IF. As a result, Kor-$h_T$ appeared to be superior to other indexes on de-duplication rate. It is also shown that there is a very strong positive correlation between the evaluation elements, the number of citations and the number of articles of journals, and the index values of Kor-$h_T$.