바로가기메뉴

본문 바로가기 주메뉴 바로가기

Developing New Journal Citation Indicators including Immediate Citation Frequencies in the Published Year

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2018, v.52 no.4, pp.71-90
https://doi.org/10.4275/KSLIS.2018.52.4.071

Abstract

The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

keywords
학술지 평가, 인용 영향력, 인용지수, 학술지 영향력 지수, 즉시성 지수, 총 영향력 지수, Journal Evaluation, Citation Impact, Citation Indicators, Journal Impact Factor, Immediacy Index, Total Impact Factor

Reference

1.

고영만, 박지영. 2012. 한국 학술지 평가를 위한 KCI 기반 복합지표의 지수 값과 질적․양적 평가요소사이의 연관성 및 학술지 등재 상태 구별 능력에 관한 연구. 한국문헌정보학회지, 46(2), 245-260.

2.

고영만, 조수련, 박지영. 2013. 학술지의 피인용횟수 순위를 적용한 tapered h-지수의 변형지표 Kor-hT"에 관한 연구. 정보관리학회지, 30(4), 111-131.

3.

김판준, 이재윤. 2010. 학술지 영향력 측정을 위한 h-지수의 응용에 관한 연구. 정보관리학회지, 27(1), 269-287.

4.

송재도, 조은성. 2011. 국내외 마케팅 학술지의 영향력: Kor-Factor와 Impact Factor의 문제점을중심으로. 마케팅관리연구, 16(2), 53-82.

5.

오세희. 2012. 학술지 평가제도 개선 방안. 한국콘텐츠학회논문지, 12(4), 495-509.

6.

이재윤. 2014. 통시적 저널 영향력 지수에 대한 고찰. 제21회 한국정보관리학회 학술대회 논문집, 2014년 8월 21일, 서울: 중앙대학교: 3-6.

7.

이재윤. 2016. 공저자 수를 고려한 h-지수 산출. 정보관리학회지, 33(3), 7-29.

8.

이재윤. 2017. 연구성과 평가를 위한 g-지수의 변형 지수 제안. 정보관리학회지, 34(3), 209-228.

9.

이춘실. 2002. 한국 의학학술지 인용지표 개발 연구. 한국비블리아학회지, 13(1), 27-41.

10.

최은주, 양기덕, 이혜경. 2016. Quality Factor: 교수연구업적평가를 위한 새로운 계량 지표. 한국도서관․정보학회지, 47(2), 287-304.

11.

한국연구재단. 2018. 2018년도 학술지평가 계속평가 신청요강. 대전: 한국연구재단.

12.

한국학술지인용색인. [online] [cited 2018. 8. 10.] <https://www.kci.go.kr/>

13.

한상완, 박홍석. 1999. 국내 학술지 평가모형에 관한 연구. 한국문헌정보학회지, 33(2), 89-118.

14.

Donner, P. 2018. Effect of Publication Month on Citation Impact. Journal of Informetrics, 12(1), 330-343.

15.

Garfield, E. 1972. Citation Analysis as a Tool in Journal Evaluation. Science, 178, 471-479.

16.

Google. 2018. Google Scholar Top Publications in Korean. [online] [cited 2018. 11. 1.]<https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=ko>

17.

Haustein, S. 2012. Multidimensional Journal Evaluation: Analyzing Scientific Periodicals beyond the Impact Factor. Berlin: De Gruyter/Saur.

18.

Ingwersen, P. et al. 2001. The Publication-Citation Matrix and Its Derived Quantities.Chinese Science Bulletin, 46(6), 524-528.

19.

Leydesdorff, L. 2012. Alternatives to the Journal Impact Factor: I3 and the Top-10% (or Top-25%) of the Most-Highly Cited Papers. Scientometrics, 92(2), 355-365.

20.

Plume, A., and Colledge, L. 2016. New Metrics Will Make Journal Assessment More Complete and Transparent. Elsevier Connect, (December 8, 2016). [online] [cited 2018. 8. 10.]<https://www.elsevier.com/connect/new-metrics-will-make-journal-evaluation-easier-and-more-transparent>

21.

Rousseau, R. and Leydesdorff, L. 2011. Simple Arithmetic versus Intuitive Understanding:The Case of the Impact Factor. ISSI Newsletter, 7(1), 10-14.

Journal of the Korean Society for Library and Information Science