iteratively weighted h-index
The interatively weighted h-index (Todeschini and Baccini 2016) is a method for producing a single global index from the vector produced by the multidimensional h-index (H). This index is calculated as:
$$iw\left(h\right)=\sum\limits_{j=1}^{n}{\frac{h_j}{j}}.$$where hj and n are the jth value and total length of H, respectively.
History
| Year | iw(h)-index |
|---|---|
| 1997 | 1.5000 |
| 1998 | 3.3333 |
| 1999 | 4.5833 |
| 2000 | 6.0000 |
| 2001 | 8.0929 |
| 2002 | 11.6167 |
| 2003 | 14.9500 |
| 2004 | 16.9500 |
| 2005 | 20.0095 |
| 2006 | 22.5833 |
| 2007 | 24.5000 |
| 2008 | 27.1667 |
| 2009 | 29.6167 |
| 2010 | 32.9262 |
| 2011 | 35.7000 |
| 2012 | 38.0429 |
| 2013 | 39.3012 |
| 2014 | 41.4623 |
| 2015 | 43.0607 |
| 2016 | 43.8623 |
| 2017 | 45.9179 |
| 2018 | 46.6679 |
| 2019 | 47.6123 |
| 2020 | 48.4690 |
| 2021 | 50.7690 |
| 2022 | 52.0940 |
| 2023 | 53.4690 |
| 2024 | 53.8262 |
References
- Todeschini, R., and A. Baccini (2016) Handbook of Bibliometric Indicators: Quantitative Tools for Studying and Evaluating Research. Weinheim, Germany: Wiley.