# The Citation Impacts and Citation Environments of Chinese Journals in Mathematics

## TL;DR

This study analyzes citation impacts of Chinese mathematics journals using local citation environments, revealing that local impacts better reflect journal status than impact factors and highlighting a preference for international sources among authors.

## Contribution

The paper introduces a novel method for analyzing local citation environments and compares local impacts with impact factors for Chinese mathematics journals.

## Key findings

- Local citation impacts better reflect journal status than impact factors.
- Chinese authors prefer citing international journals over domestic ones.
- Citation environments can be visualized through node size and correction for self-citations.

## Abstract

Based on the citation data of journals covered by the China Scientific and Technical Papers and Citations Database (CSTPCD), we obtained aggregated journal-journal citation environments by applying routines developed specifically for this purpose. Local citation impact of journals is defined as the share of the total citations in a local citation environment, which is expressed as a ratio and can be visualized by the size of the nodes. The vertical size of the nodes varies proportionally to a journal's total citation share, while the horizontal size of the nodes is used to provide citation information after correction for the within-journal (self-) citations. In this study, we analyze citation impacts of three Chinese journals in mathematics and compare local citation impacts with impact factors. Local citation impacts reflect a journal's status and function better than (global) impact factors. We also found that authors in Chinese journals prefer international instead of domestic ones as sources for their citations.

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Source: https://tomesphere.com/paper/0911.3091