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 | 2.8062 |
| 1999 | 2.8959 |
| 2000 | 4.6967 |
| 2001 | 5.6664 |
| 2002 | 7.5534 |
| 2003 | 9.5382 |
| 2004 | 11.5600 |
| 2005 | 14.5227 |
| 2006 | 15.6164 |
| 2007 | 18.5920 |
| 2008 | 20.6426 |
| 2009 | 23.6211 |
| 2010 | 24.6471 |
| 2011 | 27.6527 |
| 2012 | 31.6543 |
| 2013 | 32.6753 |
| 2014 | 33.6985 |
| 2015 | 34.7220 |
| 2016 | 34.7392 |
| 2017 | 36.7437 |
| 2018 | 36.7504 |
| 2019 | 36.7620 |
| 2020 | 37.7643 |
| 2021 | 38.7705 |
| 2022 | 40.7734 |
| 2023 | 40.7849 |
| 2024 | 41.7792 |
| 2025 | 43.7698 |
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.