discounted h-index
The discounted h-index (Ferrara and Romero 2013) was designed to adjust the h-index for self-citations by multiplying it by square-root of the percentage of total citations that were not self-citations. It is readily calculated as:
$$dh=h \sqrt{\frac{C^P-S^P}{C^P}},$$where SP is the sum of self-citations for all publications.
History
| Year | dh |
|---|---|
| 1997 | 0.0000 |
| 1998 | 2.7928 |
| 1999 | 2.8959 |
| 2000 | 4.6930 |
| 2001 | 5.6593 |
| 2002 | 6.6061 |
| 2003 | 9.5382 |
| 2004 | 11.5614 |
| 2005 | 14.5247 |
| 2006 | 15.6187 |
| 2007 | 18.5937 |
| 2008 | 20.6436 |
| 2009 | 23.6222 |
| 2010 | 24.6474 |
| 2011 | 27.6534 |
| 2012 | 31.6556 |
| 2013 | 32.6761 |
| 2014 | 33.6988 |
| 2015 | 34.7222 |
| 2016 | 34.7396 |
| 2017 | 36.7441 |
| 2018 | 36.7509 |
| 2019 | 36.7623 |
| 2020 | 37.7644 |
| 2021 | 38.7709 |
| 2022 | 40.7739 |
| 2023 | 41.7801 |
| 2024 | 41.7800 |
| 2025 | 42.7726 |
References
- Ferrara, E., and A.E. Romero (2013) Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the h-index. Journal of the American Society for Information Science and Technology 64(11):2332–2339.