# Field normalization of scientometric indicators

arXiv: https://arxiv.org/abs/1801.09985 · HTML: https://mlsanity.com/paper/1801.09985/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Jan 2018.

## Built on by (most cited first, 1 of 1)

- [Artificial intelligence technologies to support research assessment: A review](https://mlsanity.com/paper/2212.06574/) (2022)

## Abstract (arXiv)

When scientometric indicators are used to compare research units active in different scientific fields, there often is a need to make corrections for differences between fields, for instance differences in publication, collaboration, and citation practices. Field-normalized indicators aim to make such corrections. The design of these indicators is a significant challenge. We discuss the main issues in the design of field-normalized indicators, and we present an overview of different approaches that have been developed for dealing with the problem of field normalization. We also discuss how field-normalized indicators can be evaluated, and we consider the sensitivity of scientometric analyses to the choice of a field normalization approach.