• 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 Information Management
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• v.24 no.1
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• pp.32-57
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• 1993

The purpose of this study is to analyze the intellectual structure of economics field in Korea by author co-citation analysis and to investigate the limitations of author co-citation analysis by a new method, namely, indexing term analysis of citing documents.

• 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.

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

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.8
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• pp.955-964
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• 2014

The more importance of international collaboration has increased, the more studies on statues of international collaboration are increasing. However, few studies have attempted to identify the international collaboration. This article aims at a multidirectional characterization of the international collaboration in the field of Computer Science by analysis of articles published in the SCOPUS database. We applied Probabilistic Affinity Index(PAI) and Indicator of Collaboration Strength(ICS) for measuring the intensity of scientific collaboration among countries, and index of Incremental Citation Impact(ICI) for measuring the quality of international collaboration. These analyses identify the trends of international collaboration in the field of Computer Science and it's effect by nation.

• 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.

• Archives of Plastic Surgery
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• v.43 no.6
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• pp.487-490
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• 2016

• Archives of Plastic Surgery
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• v.42 no.2
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• pp.109-110
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• 2015

• Korean Journal of Clinical Pharmacy
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• v.22 no.2
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• pp.131-136
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• 2012

Objective: This study evaluated and compared the adherence to the CONSORT for quality of reports on the randomized controlled trials (RCT) abstracts by four major Korean Science Citation Index (SCI) journals and The New England Journal of Medicine (NEJM). Methods: A descriptive analysis of published RCT abstracts in Korean SCI journals and NEJM from 2007/01 to 2011/06 was conducted by two reviewers, independently extracting data from a PubMed search. A modification of CONSORT for abstract was used including 16 checklist items. Reporting of checklist items for individual group was conducted to compare adherence patterns between two groups. Results: We identified the potential 57 RCT abstracts from Korean SCI and 50 from NEJM meeting our inclusion criteria; among them, three abstracts from Korean SCI and one from NEJM were excluded. Among total 16 checklist items based on CONSORT statement, Korean SCI journals and NEJM were statistically equivalent in 4 items; Korean journals were better in three items and NEJM were in nine. The methodological quality domains were inadequately reported in both journals: allocation concealment about 1.9% and 4.0%, and blinding 44.4% and 40.8%. In general, The CONSORT adherence of NEJM was better than that of Korean SCI in the method and result domain (p < 0.0001). Conclusions: The quality of NEJM reporting of RCT abstracts was better than that of Korean SCI, in general. This study on adherence of RCT reports from Korean SCI journals and NEJM abstracts to the CONSORT statement reveals that there is a need for improvement, especially Korean SCI. Further investigation on the quality of RCT reports and ways to improve reporting quality is required.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.20-30
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• 2014

This study examines the foremost concerns related to most noted research performance index. The most popular and widely acceptable h-index underestimates the highly visible scientist, the middle order group, due to citation distribution issues. The study addresses this issue and uses 'Corrected Quality Ratio' (CQ) to check the implicit underpinnings as evident in h-index. CQ helps to incorporate the aspects of a good research performance indicator. This simple revision performs more intimately and logically to gauge the broader research impact for all groups and highly visible scientists with less statistical error.