• Journal of the Korean Society for information Management
• /
• v.33 no.2
• /
• pp.61-76
• /
• 2016

This study aims at proposing three prestige indices-closeness prestige, input domain, and proximity prestige- as useful measures for the impact of a particular node in citation networks. It compares these prestige indices with other impact indices as it is still unknown what dimensions of impact these indices actually measure. The prestige indices enable us to distinguish the most prominent actors in a directed network, similar to the centrality indices in undirected networks. Correlation analysis and principal component analysis were conducted on the author citation network to identify the differentiated implications of the three prestige indices from the existing impact indices. We selected simple citation counting, h-index, PageRank, and the three kinds of centrality indices which assume undirected networks as the existing impact measures for comparison with the three prestige indices. The results indicate that these prestige indices demonstrate distinct impact dimension from the other impact indices. The prestige indices reflect indirect impact while the others direct impact.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.3
• /
• pp.1127-1154
• /
• 2018

This paper aims to contribute to estimating the value of a patent by explaining the unobservable attributes of patent quality using observable patent citation indices. The paper first constructs patent citation data and identifies firm, university, and research institute among assignees, and then tries to explain attributes of patent quality using backward citation indices. Backward citation indices carrying information about technological sources which a given patent is based on turn out to be good predictors of forward citation indices carrying information about attributes of patent quality. Finding the functional relationships between attributes of patent quality and backward citations will lead to the improved estimation and prediction of patent value. It is found out that backward citation indices are strongly correlated the technological diversity of a patent. The paper also suggests that with whom an organization chooses to collaborate affects the attributes of patent quality.

• Journal of Information Management
• /
• v.41 no.2
• /
• pp.161-181
• /
• 2010

The purpose of this study is to investigate citation behavior in internet news to research papers of 10 domestic economic institutes and to suggest institutes' impact quantitatively with h-index and various modified indices. Content analysis of 878 news articles that collected from NAVER news site was performed. First, as citing behavior, cited numbers of research papers, preferred news media, speed, source entry accuracy, centrality, subject section, and length by the institutes were examined. Next, impact indices for institutes were calculated by cited numbers using h-index, g-index, $h_s$-index, and $g_s$-index, and the ranking of 10 research institutes were determined by each impact indices. As a result, institutes belonged to upper ranks showed little variation among the different indices. On the other hand, institutes belonged to middle and lower ranks showed variations in impact indices and experts' survey.

• Journal of the Korean Society for information Management
• /
• v.25 no.4
• /
• pp.283-308
• /
• 2008

In this study, we testify that network structural attributes of a citation network can explain other aspects of journal citation behaviors and the importances of journals. And we also testify various citation impact indicators of journals including JIF and h-index to verify the difference among them especially focused on their ability to explain an institution's local features of citation behaviors. An institutional citation network is derived using the articles published in 2006-2007 by biotechnology faculties of Y University. And various journal citation impact indicators including JIF, SJR, h-index, EigenFactor, JII are gathered from different service sites such as Web of Science, SCImago, EigenFactor.com, Journal-Ranking.com. As a results, we can explain the institution's 5 research domains with inter-citation network. And we find that the co-citation network structural features can show explanations on the patterns of institutional journal citation behavior different from the simple cited frequency of the institution or patterns based on general citation indicators. Also We find that journal ranks with various citation indicators have differences and it implies that total-based indices, average-based indices, and hybrid index(h-index) explain different aspects of journal citation pattern. We also reveal that the coverage of citation DB doesn't be a matter in the journal ranking. Analyzing the citation networks derived from an institution's research outputs can be a useful and effective method in developing several library services.

• Journal of the Korean Society for information Management
• /
• v.29 no.2
• /
• pp.193-204
• /
• 2012

The characteristics of citation and centrality measures in citation networks can be identified using multiple linear regression analyses. In this study, we examine the relationships between bibliometric indices and centrality measures in an article-level co-citation network to determine whether the linear model is the best fitting model and to suggest the necessity of data transformation in the analysis. 703 highly cited articles in Physics published in 2004 were sampled, and four indicators were developed as variables in this study: citation counts, degree centrality, closeness centrality, and betweenness centrality in the co-citation network. As a result, the relationship pattern between citation counts and degree centrality in a co-citation network fits a non-linear rather than linear model. Also, the relationship between degree and closeness centrality measures, or that between degree and betweenness centrality measures, can be better explained by non-linear models than by a linear model. It may be controversial, however, to choose non-linear models as the best-fitting for the relationship between closeness and betweenness centrality measures, as this result implies that data transformation may be a necessary step for inferential statistics.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2002.08a
• /
• pp.273-278
• /
• 2002

본 연구는 $\boxDr$KoMCl (Korea Medical Citation Index) 2000 한국 의학학술지 인용정보$\boxUl$를 바탕으로 하여 한국 의학학술지에 의한 인용을 통하여 한국 의학학술지를 평가하는 대규모의 인용문헌 분석을 시도하였다. 2000년도에 발행된 69종의 한국 의학학술지를 대상으로 하여 이들의 인용도와 각종 인용분석지표의 특성을 고찰하고, 이러한 인용분석지표가 연구자의 업적평가 지표로 사용될 수 있는지의 여부에 대해 분석 하였다.

• Journal of Information Management
• /
• v.37 no.2
• /
• pp.21-31
• /
• 2006

Methodology Science Citation Index, developed by TS, has been used as an indicator to evaluate academic and research performance in worldwide research environment, as the world goes. With this trend, Korean Science Citation Index(KSCI) databases for domestic journals in the field of science and engineering have been constructed by some institutes such as KISTI, KRF, KOSEF, and so on. Many institutes in Korea are accepting the Impact Factor(IF) and SCI databases, proposed by TS as toolkits for evaluating research capability of their members without any criticism. However, the IF, mostly used as an analyzing tool, has been criticized by many different sectors. The validity of IF has been examined and/or complimented by a case study. In this study various indices as substitutes for IF are scrutinized and examined to maximize the usability of KSCI database.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.4
• /
• pp.827-839
• /
• 2015

Extraction of communities from a journal citation database by the citation structure is a useful tool to see closely related groups of the journals. SCI of Thomson Reuters or SCOPUS of Elsevier have had tried to grasp community structure of the journals in their indices according to citation relationships, but such a trial has not been made yet with the Korean Citation Index, KCI. Therefore, in this study, we extracted communities of the journals of the natural science area in KCI, using various clustering algorithms for a social network based on citations among the journals and compared the groups obtained with the classfication of KCI. The infomap algorithm, one of the clustering methods applied in this article, showed the best grouping result in the sense that groups obtained by it are closer to the KCI classification than by other algorithms considered and reflect well the citation structure of the journals. The classification results obtained in this study might be taken consideration when reclassification of the KCI journals will be made in the future.

• Journal of the Korean Society for information Management
• /
• v.27 no.1
• /
• pp.269-287
• /
• 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 Information Science Theory and Practice
• /
• v.9 no.3
• /
• pp.56-75
• /
• 2021

We introduce a new research assessment measure, called the research excellence index. The measure, which we denote by RE-index, accurately assesses the research performance of a researcher. The methodology used in deriving the RE-index tackles many of the flaws of popular research performance indicators such as publication counts, citation counts, and the h and g indices. A dataset is introduced, which takes advantage of the wide coverage of Scopus and the Library of Congress, and, at the same time, deals with the Scopus database depth problem. For an academic publication x, a prestige-type and length scores are assigned, and if x is published in an academic periodical publication J, the stature of J is identified through a quartile score. The three scores are used to assign a value score to every academic publication, and cited academic publications are given citation scores that encompass both cases of including and excluding self-citations. The foregoing scores are used to derive another set of scores measuring the combined qualitative and quantitative aspects of the creative work, citations of creative work, informative work and citations of informative work of a researcher. The scores take into consideration co-authorship. From these scores, two versions of the RE-index for a researcher are derived, covering the cases of including and excluding self-citations. The new measure is calculated for two mathematicians.