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 | 1.4000 |
1999 | 1.1429 |
2000 | 1.2000 |
2001 | 1.2000 |
2002 | 1.2527 |
2003 | 1.3143 |
2004 | 1.3725 |
2005 | 1.4561 |
2006 | 1.4935 |
2007 | 1.5494 |
2008 | 1.5938 |
2009 | 1.6459 |
2010 | 1.6729 |
2011 | 1.7081 |
2012 | 1.7580 |
2013 | 1.7877 |
2014 | 1.8032 |
2015 | 1.8089 |
2016 | 1.8007 |
2017 | 1.7955 |
2018 | 1.7810 |
2019 | 1.7599 |
2020 | 1.7392 |
2021 | 1.7189 |
2022 | 1.7034 |
2023 | 1.6840 |
2024 | 1.6653 |
2025 | 1.6507 |
References
- Burrell, Q.L. (2007) Hirsch index or Hirsch rate? Some thoughts arising from Liang's data. Scientometrics 73(1):19-28.