css
Properties
- Metric Type: Alternative Metric
- Publication Focus: All Publications
- Citation Focus: All Citations
Description
Gagolewski et al. (2022) suggested a variety of metrics that might be used to approximate the distribution of an author's citation vector, some of which were novel in a bibliometric context. css is the cube-root of the sum of squared citation counts.
$$css = \sqrt[3]{\sum\limits_{i=1}^P C_i^2}$$History
| Year | css |
|---|---|
| 1997 | 1.2599 |
| 1998 | 4.1602 |
| 1999 | 8.2816 |
| 2000 | 11.6496 |
| 2001 | 16.8640 |
| 2002 | 22.6656 |
| 2003 | 28.5997 |
| 2004 | 35.9415 |
| 2005 | 44.3695 |
| 2006 | 54.0700 |
| 2007 | 64.2693 |
| 2008 | 73.3684 |
| 2009 | 82.4577 |
| 2010 | 92.9863 |
| 2011 | 102.7893 |
| 2012 | 112.5115 |
| 2013 | 122.1855 |
| 2014 | 132.3126 |
| 2015 | 141.3168 |
| 2016 | 151.1767 |
| 2017 | 159.8853 |
| 2018 | 167.7856 |
| 2019 | 175.3034 |
| 2020 | 182.3552 |
| 2021 | 189.6093 |
| 2022 | 197.7231 |
| 2023 | 204.7779 |
| 2024 | 211.9119 |
| 2025 | 215.3879 |
References
- Gagolewski, M., B. Żogała‑Siudem, G. Siudem, and A. Cena (2022) Ockham's index of citation impact. Scientometrics 127:2829-2845.