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검색어: journal citation analysis, 검색결과: 4
1
최선희(한국과학기술정보연구원) ; 김병규(한국과학기술정보연구원) ; 강무영(한국과학기술정보연구원) ; 류범종(한국과학기술정보연구원) ; 이종욱(Indiana University Bloomington) ; 박재원(한국과학기술정보연구원) 2011, Vol.28, No.2, pp.97-115 https://doi.org/10.3743/KOSIM.2011.28.2.097
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Abstract

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.

2
김병규(한국과학기술정보연구원) ; 강무영(한국과학기술정보연구원) ; 최선희(한국과학기술정보연구원) ; 김순영(한국과학기술정보연구원) ; 류범종(한국과학기술정보연구원) ; 신재도(충남대학교) 2011, Vol.28, No.2, pp.117-133 https://doi.org/10.3743/KOSIM.2011.28.2.117
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Abstract

There have been little comprehensive research for studying impact of foreign journals on Korean scientists. The main reason for this is because there was no extensive citation index database of domestic journals for analysis. 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 foreign journals was examined by using KSCD that covers Korean core journals. This research covers (1) analysis of foreign document types cited, (2) analysis of citation counts of foreign journals by subject and the ratio of citing different disciplines, (3) analysis of language and country of foreign documents cited, (4) analysis of publishers of journals and whether or not journals are listed on global citation index services and (5) analysis for current situation of subscribing to foreign electronic journals in Korea. The results of this research would be useful for establishing strategies for licensing foreign electronic journals and for information services. From this research, immediacy citation rate (average 1.46%), peak-time (average 3.9 years) and half-life (average 8 years) of cited foreign journals were identified. It was also found that Korean scientistis tend to cite journals covered in SCI(E) or SCOPUS, and 90% of cited foreign journals have been licensed by institutions in Korea.

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The purpose of this study is to identify topic areas of academic library research using two informetric methods; word clustering and Pathfinder network. For the data analysis, 139 articles published in major library and information science journals from 2005 to 2009 were collected from the Korean Science Citation Index database. The keywords that represent research topics were gathered from two sections: an abstract and titles in references. Results showed that reference titles usefully represent topics in detail, and combining abstracts and reference titles can produce an expanded topic map.

4
이재윤(경기대학교) ; 최상희(대구가톨릭대학교) 2011, Vol.28, No.2, pp.11-36 https://doi.org/10.3743/KOSIM.2011.28.2.011
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Abstract

Since the 1990s, informetrics has grown in popularity among information scientists. Today it is a general discipline that comprises all kinds of metrics, including bibliometrics and scientometrics. To illustrate the dynamic progress of this field, this study aims to identify the structure and infrastructure of the informetrics literature using statistical and profiling methods. Informetrics literature was obtained from the Web of Knowledge for the years 2001-2010. The selected articles contain least one of these keywords: ‘informetrics’, ‘bibliometrics’, ‘scientometrics’, ‘webometrics’, and ‘citation analysis.’ Noteworthy publication patterns of major countries were identified by a statistical method. Intellectual structure analysis shows major research areas, authors, and journals.

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