4.5 Article

The role of citation networks to explain academic promotions: an empirical analysis of the Italian national scientific qualification

期刊

SCIENTOMETRICS
卷 127, 期 10, 页码 5633-5659

出版社

SPRINGER
DOI: 10.1007/s11192-022-04485-5

关键词

Citation networks; Research evaluation; Bibliometrics; Citation-based metrics; ASN; Academic promotion

资金

  1. University fund for Research (FAR 2020) of the University of Modena and Reggio Emilia

向作者/读者索取更多资源

This paper studies the role of citation network measures in the assessment of scientific maturity, using the case of the Italian national scientific qualification. The results show that citation network measures are related to researchers' evaluation results and can improve predictive accuracy. Additionally, citation networks in specific sub-disciplines are more relevant than those in general disciplines. However, citation network measures cannot replace citation-based bibliometric indices.
The aim of this paper is to study the role of citation network measures in the assessment of scientific maturity. Referring to the case of the Italian national scientific qualification (ASN), we investigate if there is a relationship between citation network indices and the results of the researchers' evaluation procedures. In particular, we want to understand if network measures can enhance the prediction accuracy of the results of the evaluation procedures beyond basic performance indices. Moreover, we want to highlight which citation network indices prove to be more relevant in explaining the ASN results, and if quantitative indices used in the citation-based disciplines assessment can replace the citation network measures in non-citation-based disciplines. Data concerning Statistics and Computer Science disciplines are collected from different sources (ASN, Italian Ministry of University and Research, and Scopus) and processed in order to calculate the citation-based measures used in this study. Then, we apply logistic regression models to estimate the effects of network variables. We find that network measures are strongly related to the results of the ASN and significantly improve the explanatory power of the models, especially for the research fields of Statistics. Additionally, citation networks in the specific sub-disciplines are far more relevant than those in the general disciplines. Finally, results show that the citation network measures are not a substitute of the citation-based bibliometric indices.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据