1 |
신은자 (2013). 한국 재료공학 논문의 피인용 영향요인에 관한 연구. 정보관리학회지, 30(1), 131-150. http://dx.doi.org/10.3743/KOSIM.2013.30.1.131 Shin, Eun-Ja (2013). An analysis on the factors affecting the citation in Korean material science articles. Journal of the Korean Society for Information Management, 30(1), 131-150. http://dx.doi.org/10.3743/KOSIM.2013.30.1.131
DOI
|
2 |
이재윤 (2006). 연구성과 측정을 위한 h-지수의 개량에 관한 연구. 정보관리학회지, 23(3), 167-186. http://dx.doi.org/10.3743/KOSIM.2006.23.3.167 Lee, Jae Yun (2006). Some improvements on h-index: Measuring research outputs by citations. Journal of the Korean Society for Information Management, 23(3), 167-186. http://dx.doi.org/10.3743/KOSIM.2006.23.3.167
DOI
|
3 |
이재윤 (2011a). 인용 네트워크 분석에 근거한 문헌 인용 지수 연구. 한국문헌정보학회지, 45(2), 119-143. http://dx.doi.org/10.4275/KSLIS.2011.45.2.119 Lee, Jae Yun (2011a). A study on document citation indicators based on citation network analysis. Journal of the Korean Society for Library and Information Science, 45(2), 119-143. http://dx.doi.org/10.4275/KSLIS.2011.45.2.119
DOI
|
4 |
이재윤 (2011b). 단일 문헌의 인용 영향력 측정 방식의 개선. 제18회 한국정보관리학회 학술대회 발표논문집, 119-143. Lee, Jae Yun (2011b). Improved methods for assessing single paper's citation impact. Proceedings of the 18th Annual Conference of the Korean Society for Information Management, 119-143.
|
5 |
정영미, 이재윤 (2001). 지식 분류의 자동화를 위한 클러스터링 모형 연구. 정보관리학회지, 18(2), 203-230. Chung, Young-Mee, & Lee, Jae-Yun (2001). Development of a clustering model for automatic knowledge classification. Journal of the Korean Society for Information Management, 18(2), 203-230.
|
6 |
Bi, H. H., Wang, J., & Lin, D. K. J. (2011). Comprehensive citation index for research networks. IEEE Transactions on Knowledge and Data Engineering, 23(8), 1274-1278. http://doi.org/10.1109/TKDE.2010.167
DOI
|
7 |
Bornmann, L., Schier, H., Marx, W., & Daniel, H.-D. (2011). Does the h index for assessing single publications really work? A case study on papers published in chemistry. Scientometrics, 89(3), 835-843. http://dx.doi.org/10.1007/s11192-011-0472-0
DOI
|
8 |
Egghe, L. (2010). On the relation between Schubert's h-index of a single paper and its total number of received citations. Scientometrics, 84(1), 115-117. http://dx.doi.org/10.1007/s11192-009-0062-6
DOI
|
9 |
Fragkiadaki, E., Evangelidis, G., Samaras, N., & Dervos, D. A. (2011). f-Value: Measuring an article's scientific impact. Scientometrics, 86(3), 671-686. http://dx.doi.org/10.1007/s11192-010-0302-9
DOI
|
10 |
Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. http://doi.org/10.1073/pnas.0507655102
|
11 |
Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the Web. Technical Report. Stanford InfoLab. Retrieved from http://ilpubs.stanford.edu:8090/422/
|
12 |
Thor, A., & Bornmann, L. (2011). The calculation of the single publication h index and related performance measures: A web application based on Google Scholar data. Online Information Review, 35(2), 291-300. http://dx.doi.org/10.1108/14684521111128050
DOI
|
13 |
Schubert, A. (2009). Using the h-index for assessing single publications. Scientometrics, 78(3), 559-565. http://doi.org/10.1007/s11192-008-2208-3
DOI
|
14 |
Singhal, A., Salton, G., Mitra, M., & Buckley, C. (1996). Document length normalization. Information Processing & Management, 32(5), 619-633.
DOI
|
15 |
San Francisco Declaration on Research Assessment: Putting science into the assessment of research. Retrieved from http://www.ascb.org/dora/
|