• Journal of Information Processing Systems
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• v.14 no.4
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• pp.916-925
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• 2018

The academic research performance is often quantitatively measured by means of using citation frequency. The citation frequency-based indicators, such as h-index and impact factor, are commonly used reflecting the citation quality to some extent. However, these frequency-based indicators are usually carried out based on the assumption that all citations are equal. This may lead to biased evaluations in that, the attributes of the citing objects and cited objects are significant. A high-accuracy evaluation method is needed. In this paper, we review various citation quality-based evaluation indicators, and categorize them considering the algorithms being applied. We discuss the pros and cons of these indicators, and compare them from four dimensions. The outcomes will be useful for our further research on distinguishing citation quality.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.536-538
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• 2010

It is important for scientific and technological papers to build citation DB and to offer service. The best example of citation DB is SCI that has been utilized in the world. The majority of Korean journals is not SCI journal, so it is impossible for the domestic journals to conduct quantitative analysis and performance evaluation. Korea Science Citation Index Service is the alternative service to get rid of the above problem. In the study, we carried out the user satisfaction survey for new vision of service from existing KSCI, correcting the result data. We evaluated the data and then derived the level of current system and the future improvement direction.

• Journal of the Korean Society for information Management
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• v.22 no.2 s.56
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• pp.23-39
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• 2005

The purpose of this study was to analyzes the present conditions of reference databases which is constructed from Korea. The object which is used in analysis concludes on KSCI( Korean Science Citation Index) of KISTI, KCI(Korean Citation Index) of KRF, KoMCI(Korean Medical Citation Index) of Korean Academy of Medical Sciences, and reference database of KOSEF. And then, this paper proposes the activation plan for reference database construction based on this analysis result. The proposed plan will be able to apply with fundamental data of the system, policy and technical direction for reference database construction.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.249-277
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• 2023

The purpose of this study is to explore the potential contribution of citation metrics to improving the search performance of citation index databases. To this end, the study generated ten queries in the field of library and information science and conducted experiments based on the relevance assessment using 3,467 documents retrieved from the Web of Science and 60,734 documents published in 85 SSCI journals in the field of library and information science from 2000 to 2021. The experiments included re-ranking of the top 100 search results using citation metrics and search methods, query expansion experiments using vector space model retrieval systems, and the construction of a citation-based re-ranking system. The results are as follows: 1) Re-ranking using citation metrics differed from Web of Science's performance, acting as independent metrics. 2) Combining query term frequencies and citation counts positively affected performance. 3) Query expansion generally improved performance compared to the vector space model baseline. 4) User-based query expansion outperformed system-based. 5) Combining citation counts with suitability documents affected ranking within top suitability documents.

• Journal of Information Science Theory and Practice
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• v.1 no.2
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• pp.58-68
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• 2013

Citing literature is a very important activity for scholars in writing articles. Many publishers and libraries build citation databases and provide citation reports on scholarly journals. Cited-by linking is a service representing what an article cites and how many times it cites a specific article within a journal database. Recently, information services based on DOIs (Digital Object Identifiers) have been increasing in number. CrossRef, a non-profit organization for the DOI registration agency, maintains the DOI system and provides the cited-by linking service. Recently, the number of Korean journals adopting DOI is also rapidly increasing. The Korea Institute of Science and Technology Information (KISTI) supports Korean learned societies in DOI related activities in collaboration with CrossRef. This study analyzes cited patterns of Korean DOI journal articles using CrossRef's cited-by linking data and a Korean journal citation database. This analysis has been performed in terms of publication country and the language of journals citing Korean journal articles. The results show that DOI, SCI(E) (Science Citation Index (Expanded)), and English journals are more likely to be cited internationally.

• Water for future
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• v.40 no.11
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• pp.84-90
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• 2007

• Water for future
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• v.32 no.6
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• pp.102-106
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• 1999

• Journal of Information Management
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• v.41 no.1
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• pp.43-67
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• 2010

We examine several citation information services to analyze their functional items and resources as interests and concerns on citation information services have been increasing. Based on our analysis, we suggest a blueprint and model for national citation information services. As a result, We find that there are different service items and resources among the type of the citation information services. We also suggest three principles and personal services scenarios for developing national scholarly information service using citation information. And expert survey shows the priority of the services. This study would be a fundamental material for drawing big pictures on national citation information services.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.97-115
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• 2011

A large and reliable citation database is necessary to identify and analyze citation behavior of Korean researchers in science and technology. Korea Institute of Science and Technology Information (KISTI) built the Korea Science Citation Database (KSCD), and have provided Korea Science Citation Index (KSCI) and Korea Journal Citation Reports (KJCR) services. In this article, citing behavior of Korean scientists on Korean journals was examined by using the KSCD that covers 459 Korean core journals. This research dealt with (1) statistical numeric information of journals in KSCD, (2) analysis of document types cited, (3) ratio of domestic to international documents cited and ratio of citing different disciplines, (4) analysis on immediacy index, peak time, and half-life of cited documents, and (5) analysis on impact of journals based on KJCR citation indicators. From this research, we could find the immediacy citation rate (average 2.36%), peak-time (average 1.7 years) and half-life (average 5.2 years) of cited journals in Korea. We also found that the average journal self-citation rate is more than 50% in every field. In sum, citing behavior of Korean scientists on Korean journals was comprehensively identified from this research.

• 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.