least squares h-rate
Hirsch's original estimate of the h-rate was based on a single data point, the most recently measured value of the h-index and the time since first publication. Burrell (2007) suggested that a more accurate measure could be estimated through least-squares regression of a series of h-indices measured at different time points of an author's career, while forcing the intercept through zero at the start of their career (prior to first publication).
History
| Year | mls |
|---|---|
| 1997 | 1.0000 |
| 1998 | 1.0000 |
| 1999 | 1.0000 |
| 2000 | 1.1333 |
| 2001 | 1.1636 |
| 2002 | 1.2308 |
| 2003 | 1.3500 |
| 2004 | 1.3971 |
| 2005 | 1.4737 |
| 2006 | 1.5325 |
| 2007 | 1.5791 |
| 2008 | 1.6169 |
| 2009 | 1.6801 |
| 2010 | 1.7143 |
| 2011 | 1.7540 |
| 2012 | 1.7961 |
| 2013 | 1.8196 |
| 2014 | 1.8303 |
| 2015 | 1.8320 |
| 2016 | 1.8206 |
| 2017 | 1.8127 |
| 2018 | 1.7960 |
| 2019 | 1.7731 |
| 2020 | 1.7508 |
| 2021 | 1.7338 |
| 2022 | 1.7167 |
| 2023 | 1.6997 |
| 2024 | 1.6794 |
References
- Burrell, Q.L. (2007) Hirsch index or Hirsch rate? Some thoughts arising from Liang's data. Scientometrics 73(1):19-28.