Academic spectra: A visualization method for research assessment

Cybermetrics

Volumn 14, Issue 1, 2010, Pages 1-6

  Ye, Fred Y ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b INSTITUTE OF SCIENTIFIC AND TECHNICAL INFORMATION OF CHINA   (China)

Author keywords

Academic spectrum; Research assessment; Scientometric indicators

Indexed keywords

EID: 77958105418     PISSN: None     EISSN: 11375019     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Ball, P. (2005). Index aims for fair ranking of scientists. Nature, 436(7053): 900.
2. Bonitz, M., Bruckner, E., Scharnhorst, A. (1997). Characteristic and impact of the Matthew effect for countries. Scientometrics, 40(3): 407-422.
3. Braun, T., Schubert, A. (1997). Dimensions of scientometric indicator datafiles. World science in 1990-1994. Scientometrics, 38(1): 175-204.
4. Csajbók, E., Berhidi, A., Vasas, L., Schubert, A. (2007). Hirsch-index for countries based on Essential Science Indicators data. Scientometrics, 73(1): 91-117.
5. Döring, T. F. (2007). Quality evaluation needs some better quality tools. Nature, 445:709.
6. Egghe, L., Liang, LM., Rousseau, R. (2009). A relation between h-index and impact factor in the power-law model. Journal of the American Society for Information Science and Technology, 60(11): 2362-2365.
7. Glänzel, W. (2006). On the h-index - A mathematical approach to a new measure of publication activity and citation impact. Scientometrics, 67(2): 315-321.
8. Glänzel, W., Schubert, A., Braun, T. (2002). A relational charting approach to the world of basic research in twelve science fields at the end of the second millennium. Scientometrics, 55(3): 335-348.
9. Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the USA, 102(46): 16569-16572.
10. Lehmann, S., Jackson, A.D., Lautrup, B.E. (2006). Measures for measures. Nature, 444: 1003-1004.
11. Moed, H. F. (2005). Citation analysis of scientific journals and journal impact measures. Current Science, 89(12): 1990-1996.
12. Moed, H. F., De Bruin, R.E., van Leeuwen, Th.N. (1995). New bibliometric tools for the assessment of national research performance: database description, overview of indicators and first applications. Scientometrics, 33(3): 381-422.
13. Schubert, A. and Braun, T. (1986). Relative indicators and relational charts for comparative assessment of publication output and citation impact. Scientometrics, 9(5-6): 281-291.
14. Schubert, A., Braun, T. (1996). Cross-field normalization of scientometric indicators. Scientometrics, 36(3): 311-324.
15. Schubert, A., Glänzel, W. (2007). A systematic analysis of Hirsch-type indices for journals. Journal of Informetrics, 1(2): 179-184.
16. van Raan, A.F.J. (1996). Advanced bibliometric methods as quantitative core of peer review based evaluation and foresight exercises. Scientometrics, 36(3): 397-420.
17. van Raan, A.F.J. (2005). Statistical properties of bibliometric indicators: research group indicator distributions and correlations. Journal of the American Society for Information Science and Technology, 57(3): 408-430.
18. Waltman, L., van Eck, N.J. (2009). A simple alternative to the h-index. ISSI Newsletter, 5(3): 46-48.
19. Ye, F.Y. (2009). An investigation on mathematical models of the h-index. Scientometrics, 2009, 81(2): 493-498.