• Journal of Yeungnam Medical Science
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• v.40 no.4
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• pp.317-318
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• 2023

• Journal of the Korean Society for information Management
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• v.11 no.1
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• pp.57-79
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• 1994

This study investgated citation pattems of publication by researchers in eledncal and electronics engineering in Korea. As sources to derive citation$ Koran Peridcals Index (KPI) and the INSPEC database were seleded, and some 235 articles indexed in KPI and 189 arbcles indexed in INSPEC yielded 3,414 citations. It Identhd the citation behavior of researchers in the field, compared citabn behavior by author affhation (government, universities, and industry/cnmprues), and compared the catation patterns exhibited by articles taken from Kroean and non- Korean publications. Based on the fin-, it was concluded that the citation analysis results could ydd helpful information for the provision of library and information center services and collection development. It a h provided recommendation for the mformation senrim in the field of electrical and electronics engineering.

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.33-50
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• 2013

The purpose of this study was to identify differences between KCI and Naver Scholar as citation analysis tools. Four subcategories in the humanities category were selected as the subject of study. The recall of Naver Scholar was 64%(2,227 times) and the KCI's was 77%(2,665 times). There were some differences in the results at the individual article level or the subcategory level, but the gaps were not significant. Therefore, researchers who analyze citations are urged to use both databases because neither of them are complete, but supplementary to each other.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.197-220
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• 2020

Recently, the National Research Foundation of Korea (NRF) announced new plan to reflect the KCI citation measures in journal evaluation. In principle, Journal evaluation should reflect each journals situation and characteristics through various indicators. In this study, three improvement plans were proposed by reviewing the announced journal evaluation plan of NRF. The first improvement is to consider the five-year IF as an additional citation measure; the second improvement is to allow flexible selection of the category level on which to rank journals; and the last improvement is to combine the previous two methods and apply them together. The improvement methods proposed in this study are expected to contribute to minimizing side effects of KCI journal evaluation.

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.687-705
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• 2007

Nowadays it is more important to measure the technological impact of a concerned R&D technology on others, when deciding or selecting strategically, under the environment such as more complex, more uncertain and more costly. But there was very few of proper methods to measure quantitatively. So we studied on measuring the technological impact of one group of technologies on others, which means the flow of disembodied knowledge, using patent citation analysis. We reviewed the prior art of the measurement of technological impact, and designs the effective citation analysis method using patent information, analyzing the prior art of patent citation analysis method and ie index. Finally, we developed the disembodied knowledge flow matrix between technology groups, counting citation frequencies between them, using KISTI's US patent database(USPA) and the index to represent the technological impact to others using the developed matrix as well as the intrinsic nature of the technological groups clustering by network analysis. The results of this study is to present the insight of a technological impact on the others quantitatively and this study aims at using them to refer to R&D budgeting and decision making in case of R&D planning or to the basic information to understand technology conversion or fusion.

• Journal of Information Science Theory and Practice
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• v.9 no.3
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• pp.56-75
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• 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.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.209-228
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• 2017

This study suggests a new Hirsch-type composite index, 'transposed g-index' with a different viewpoint on h-index and g-index. From this new point of view, the axes of the graph describing the h-index and g-index are transposed so that the horizontal axis corresponds to the citation frequency threshold and the vertical axis corresponds to the number of documents. Based on this transposed graph, a new indicator transposed g-index is suggested and applied to library and information science researchers' outcomes in Korean Citation Index database. The results show that this new index has more discriminating power than h-index and g-index, and is more sensitive to differences in quantitative aspects than quality of research. It is expected that the transposed g-index will be helpful for the multifaceted evaluation of the research outcome because it has differentiating characteristics that distinguish consistent researchers who continue to study from those who do not.

• Proceedings of the Korean Society for Information Management Conference
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• 2002.08a
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• pp.273-278
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• 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 the Korean Society for Library and Information Science
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• v.54 no.4
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• pp.221-238
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• 2020

This study aims to investigate the scholarly communications and citation influences in library and information science field by conducting journal citation network analysis. For data collection, four major journals in library and information science field were chosen and 4,471 of research papers and 18,424 of citation records were collected from Korean Citation Index. The results show that Journal of the Korean Society for Library and Information Science was the most influential journal with highest citation in LIS fields, while Journal of the Korean Society for Library and Information Science Management influenced other research fields.

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