# The $CI$-index: a new index to characterize the scientific output of   researchers

**Authors:** Xuehua Yin, Xiuyan Sha, Chuancun Yin

arXiv: 1903.06422 · 2019-05-16

## TL;DR

The paper introduces the $CI$-index, a new metric based on the Choquet integral, designed to better differentiate researchers' scientific impact by emphasizing highly cited papers, improving upon existing indices.

## Contribution

The $CI$-index is a novel, simple index that improves differentiation among researchers with similar traditional indices by weighting highly cited papers more heavily.

## Key findings

- $CI$-index effectively distinguishes researchers with similar $h$-indices.
- The index emphasizes highly cited papers, providing a nuanced measure of scientific impact.
- It improves upon the $A$-index and $R$-index in characterizing research output.

## Abstract

We propose a simple new index, named the $CI$-index, based on the Choquet integral to characterize the scientific output of researchers. This index is an improvement of the $A$-index and $R$-index and has a notable feature that highly cited papers have highly weights and lowly cited papers have lowly weights. In applications many researchers may have the same $h$-index, $g$-index or $R$-index. The $CI$-index can be provided an effective method of distinguish among such researchers.

## Full text

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## References

21 references — full list in the complete paper: https://tomesphere.com/paper/1903.06422/full.md

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Source: https://tomesphere.com/paper/1903.06422