• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.119-143
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• 2011

This study identifies the characteristics of recent citation-based indicators for assessing a single paper in the context of their co-relationships. Five predefined indicators were examined with three variants of h-index which are convened in this study; the formers are PageRank, SCEAS Rank, CCI, f-value, and single paper h-index and the latters are $h_S$-index, h1-index, and $h_S$1-index. The correlation analysis and cluster analysis were performed to group the indicators by common characteristics, after which the indicators were calculated with the dataset from KSCI DB. The results show statistical evidence that distinguishes h-index type indicators from others. The characteristics of the indicators were verified with citation frequency factors using correlation analysis. Finally, the implications for applications and further studies are discussed.

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

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.468-472
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• 2007

There are many measuring tools to evaluate individual's scientific productivity using scientific articles based on bibliometrics. Especially succeeding discussions are accomplished at an trial for individual's scientific productivity after Hirsch's 2005 proposal using h-index. And there are many succeeding discussions and applications to evaluate journals, articles and qualitative level of researchers using h-index, g-index. But these indices have a same indices without regard to first author or other co-author if a article has a same number of citations. This research aims to propose K-index integrated between these indices and author rank.

• 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 of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.1
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• pp.29-37
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• 2011

The purpose of this research is to measure Quality of Life indices using Factor Analysis and Principle Component Analysis and to analyze the spatial patterns of Quality of life distribution in the Seoul Metropolitan Area in terms of spatial association using spatial statistics and spatial exploratory technique. In order to check the degree of clustering, this study used spatial autocorrelation indices, global Moran's I index. In addition, local scale analysis was conducted using Moran Scatterplot and Local Moran's I to identify the spatial association pattern and the high Quality of life. The analysis based on global statics showed that, in the Seoul Metropolitan Area, QoL Indices had been distributed with positive spatial association. According to the local spatial statistics, the general tendency of clustering H-H clusters which were mainly concentrated on the Seoul, L-H clusters were concentrated on the Kyunggi-Do and L-L Clusters showed the regional extent of lagging behind. However, in case of H-H, L-H Clusters they had been spread out in the Newtown as population increase.

• Proceedings of the Korean Society for Information Management Conference
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• 2011.08a
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• pp.29-34
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• 2011

최근 인용 네트워크 분석을 통해서 단일 문헌의 인용 영향력을 측정하려는 시도가 다양하게 전개되고 있다. 널리 알려진 PageRank를 보완하려는 일부 시도와 함께 h-index를 단일 문헌의 인용 영향력 측정에 적용한 단일문헌 h-index도 제안되었다. 이 연구에서는 Web of Science에서 검색한 계량정보학 분야 문헌집합을 대상으로 여러 측정 방식의 특징을 비교해본 후, 새로운 인용지수 2종을 제안하였다. 제안한 인용지수는 PageRank처럼 전역 네트워크 분석 방식인 지수 1종과 h-index처럼 지역 네트워크 분석 방식인 지수 1종으로서 상황에 따라 선택하여 사용할 수 있다.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.201-222
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• 2019

The Perfectionism Index (PI) is an indicator that is recently proposed to distinguish influential researchers from mass producers. In this study, Near Perfectionism Index (NPI), an improved indicator of Perfectionism Index, can be a solution to the problem of PI that indiscriminately gives a penalty to all low-cited papers regardless of publishing time or other issues. NPI improved the method to give a penalty to tail complement area considering the citation distribution curve. It prevents the improvement of the h-index from adversely affecting the researcher's influence indicator. This study uses NPI to evaluate information and library science journals in Web of Science database. It successfully distinguishes between influential journals and mass producers unlike journal h-index or average citation frequency which could not differentiate influentials from mass producers.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.1-15
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• 2022

This study analyzes the relationship of citations appearing in the patent data to understand knowledge transfers and impacts between patent documents in the field of pharmaceutical research. Patent data were collected from a website, Google Patents. The top 25 assignees were selected by searching for patent documents related to pharmaceutical research. We identify the citation relationships between assignees, then calculate and compare the values of h-index and derived indicators by using the number of citations and rank for each document of each assignee. As a result, in the case of pharmaceutical research, the assignee, such as 'Pfizer, MIT, and Abbott' shows a high impact. Among the five bibliometric indicators, the g-index and hS-index show similar results, and the indicators are the most related to the rankings of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In addition, it is highly related to the five indicators in the order of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In some cases, it is difficult to make an accurate comparison with Cites per Patents alone, which is previously known to indicate the technological influence of patent assignees.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.463-463
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• 2012

본 연구에서는 유역의 공간적 자기상사성 평가를 통하여 하천유역의 특성을 파악하고자 하였다. 이를 위해 자기상사성 분석의 지표인 허스트지수 및 프랙탈차원을 산정하였다. 허스트지수(h)의 산정은 모형에 있어서 상당히 중요한 부분을 차지한다. 이 지수에 따라 지형의 모양은 서로 상이하게 다루어질 수 있기 때문이다. 허스트지수의 산정은 Hurst가 제시한 방법(허스트지수), Peters의 수정식, Mandebrot와 Wallis의 Pox 도표, 투영면적 및 표면적 비율 방법(면적지수)이 있으며, 본 연구에서는 유역의 공간 자기상성 분석을 위해 면적지수에 의한 방법과 허스트지수에 의한 방법을 적용하였다. 지형자료는 LiDAR 측량 및 하천 횡단측량에 의해 생성된 정밀 DEM을 활용하여 허스트지수 및 프랙탈차원을 산정하였다. 면적지수 및 허스트지수에 의한 프랙탈차원과 평균경사도와의 관계에서 아라천유역은 결정계수 R2값이 94.9 %, 99.5 %로 비교적 결정계수값이 크게 나타났으며, 경사도와 표면적과의 관계에서 결정계수 R2값은 81.8 %로 분석되었다. 이는 면적지수와 허스트지수에 의해 산정된 프랙탈 차원은 유역의 지형특성 인자로 타당성을 갖는 것으로 판단된다.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.92-92
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• 2017