The "academic trace" of the performance matrix: A mathematical synthesis of the h-index and the integrated impact indicator (I3)

Journal of the Association for Information Science and Technology

Volumn 65, Issue 4, 2014, Pages 742-750

  Ye, Fred Y ^a   Leydesdorff, Loet ^b  

^a NANJING UNIVERSITY   (China)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

INDEXING (OF INFORMATION);

ACADEMIC ACHIEVEMENTS; ACADEMIC PERFORMANCE; CITATION DISTRIBUTION; H INDICES; IMPACT INDICATORS; PERFORMANCE MATRICES;

MATRIX ALGEBRA;

EID: 84899625858     PISSN: 23301635     EISSN: 23301643     Source Type: Journal    
DOI: 10.1002/asi.23075     Document Type: Article

References (35)

1. Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E., & Herrera, F. (2009). h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics, 3, 273-289.
2. Bornmann, L., de Moya-Anegón, F., & Leydesdorff, L. (2012). The new excellence indicator in the World Report of the SCImago Institutions Rankings 2011. Journal of Informetrics, 6(3), 333-335.
3. Bornmann, L., Leydesdorff, L., & Mutz, R. (2013). The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits. Journal of Informetrics, 7(1), 158-165.
4. Bornmann, L., & Mutz, R. (2011). Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalization. Journal of Informetrics, 5(1), 228-230.
5. Chen, D.-Z., Huang, M.-H., & Ye, F.Y. (2013). A probe into dynamic measures for h-core and h-tail. Journal of Informetrics, 7(1), 129-137.
6. Egghe, L. (2010). The Hirsch index and related impact measures. In B. Cronin (Ed.), Annual review of information science and social science, vol. 44 (pp. 65-114). Medford, NJ: Information Today.
7. Garfield, E. (1955). Citation Indexes for Science. Science, 122, 108-111
8. Garfield, E. (1979). Citation indexing: Its theory and applications in science, technology, and humanities. New York: Wiley.
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), 6569-16572.
10. Kuan, C.-H., Huang, M.-H., & Chen, D.-Z. (2011a). Ranking patent assignee performance by h-index and shape descriptors, Journal of Informetrics, 5(2), 303-312.
11. Kuan, C.-H., Huang, M.-H., & Chen, D.-Z. (2011b). Positioning research and innovation performance using shape centroids of h-core and h-tail. Journal of Informetrics, 5(4), 515-528.
12. Leydesdorff, L., & Bornmann, L. (2011). Integrated impact indicators compared with impact factors: An alternative research design with policy implications. Journal of the American Society for Information Science and Technology, 62(11), 2133-2146.
13. Leydesdorff, L., Bornmann, L., Mutz, R., & Opthof, T. (2011). Turning the tables on citation analysis one more time: Principles for comparing sets of documents. Journal of the American Society for Information Science and Technology, 62(7), 1370-1381.
14. Leydesdorff, L., & Shin, J.C. (2011). How to evaluate universities in terms of their relative citation impacts: Fractional counting of citations and the normalization of differences among disciplines. Journal of the American Society for Information Science and Technology, 62(6), 1146-1155.
15. Liu, J.Q., Rousseau, R., Wang, M.S., & Ye, F.Y. (2013). Ratios of h-cores, h-tails and uncited sources in sets of scientific papers and technical patents. Journal of Informetrics, 7(1), 190-197.
16. Marchant, T. (2009). Score-based bibliometric rankings of authors. Journal of the American Society for Information Science and Technology, 60(6), 1132-1137.
17. Martin, B., & Irvine, J. (1983). Assessing basic research: Some partial indicators of scientific progress in radio astronomy. Research Policy, 12, 61-90.
18. National Science Board. (2012). Science and Engineering Indicators. Washington DC: National Science Foundation. Available at http://www.nsf.gov/ statistics/seind12/
19. Prathap, G., & Leydesdorff, L. (2012). The world of science according to performance indicators based on percentile ranking normalization. Journal of Scientometric Research, 1(1), 53-59.
20. Rousseau, R. (2012). Basic properties of both percentile rank scores and the I3 indicator. Journal of the American Society for Information Science and Technology, 63(2), 416-420.
21. Rousseau, R., & Leydesdorff, L. (2011). Simple arithmetic versus intuitive understanding: The case of the impact factor. ISSI Newsletter, 7(1), 10-14.
22. Rousseau, R., & Ye, F.Y. (2011). Asimple impact measure and its evolution over time. Journal of Library and Information Studies, 9(2), 1-10.
23. Rousseau, R., & Ye, F.Y. (2012a). A formal relation between the h-index of a set of articles and their I3 score. Journal of Informetrics, 6(1), 34-35.
24. Rousseau, R., & Ye, F.Y. (2012b). Basic independence axioms for the publication-citation system. Journal of Scientometric Research, 1(1), 22-27.
25. Seglen, P.O. (1992). The skewness of science. Journal of the American Society for Information Science, 43(9), 628-638.
26. Seglen, P.O. (1997). Why the impact factor of journals should not be used for evaluating research. British Medical Journal, 314, 498-502.
27. 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.
28. Waltman, L., Calero-Medina, C., Kosten, J., Noyons, E., Tijssen, R.J.W., van Eck, N.J., ⋯ (2012). The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation. Journal of the American Society for Information Science and Technology, 63(12), 2419-2432.
29. Waltman, L., & van Eck, N.J. (2012). The inconsistency of the h-index. Journal of the American Society for Information Science and Technology, 63(2), 406-415.
30. Ye, F.Y. (2011). Aunification of three models for the h-index. Journal of the American Society for Information Science and Technology, 62(2), 205-207.
31. Ye, F.Y. (2012). h-inconsistency is not an issue in dynamical systems. ISSI Newsletter, 8(2), 22-24.
32. Ye, F.Y., & Rousseau, R. (2010). Probing the h-core: An investigation of the tail-core ratio for rank distributions. Scientometrics, 84(2), 431-439.
33. Zhang, C.T. (2009). The e-index, complementing the h-index for excess citations. PLoS ONE, 4(5), e5429.
34. Zhang, C.T. (2013a). A novel triangle mapping technique to study the h-index based citation distribution. Scientific Reports, 3(1023), 1-5.
35. Zhang, C.T. (2013b). The h'index, effectively improving the h-index based on the citation distribution. PLoS ONE, 8, e59912.