b-index (mean self-citation rate)
The b-index (Brown 2009) is designed to correct the h-index for self-citations, without actually having to check the citation records for every publication. It assumes that an author's self-citation rate is fairly consistent across publications such that, on average, a fraction k of the citations are from other authors. Assuming that citations follow a Zipfian distribution and that empirically derived estimates of the shape of this distribution are reasonable, one finds the index
$$b=hk^{\frac{3}{4}},$$where b is an estimate of the h-index corrected for self-citations.
There are multiple ways to estimate the non-self-citation rate (k). In this case, we calculate it directly as the mean of the proportion of self-citations to total-citations across all publication, subtracted from one, or
$$k=1-\bar{S_r}=1-\frac{\sum\limits_{i=1}^{P}{\frac{s_i}{C_i}}}{P}$$where si is the number of self-citations by the target author to the ith publication.
History
Year | bmean.self |
---|---|
1997 | 0.7378 |
1998 | 2.8173 |
1999 | 2.7328 |
2000 | 4.4965 |
2001 | 5.0213 |
2002 | 6.3339 |
2003 | 8.8357 |
2004 | 10.9092 |
2005 | 13.4304 |
2006 | 14.7248 |
2007 | 17.5638 |
2008 | 19.7973 |
2009 | 22.7799 |
2010 | 23.9533 |
2011 | 26.6309 |
2012 | 30.5814 |
2013 | 31.7390 |
2014 | 32.2969 |
2015 | 33.8157 |
2016 | 33.9585 |
2017 | 35.9256 |
2018 | 36.0025 |
2019 | 36.0289 |
2020 | 36.9041 |
2021 | 37.9958 |
2022 | 40.0601 |
2023 | 40.0907 |
2024 | 41.0121 |
2025 | 42.9862 |
References
- Brown, R.J.C. (2009) A simple method for excluding self-citation from the h-index: the b-index. Online Information Review 33(6):1129–1136.