Journal
SCIENTOMETRICS
Volume 127, Issue 10, Pages 5633-5659Publisher
SPRINGER
DOI: 10.1007/s11192-022-04485-5
Keywords
Citation networks; Research evaluation; Bibliometrics; Citation-based metrics; ASN; Academic promotion
Funding
- University fund for Research (FAR 2020) of the University of Modena and Reggio Emilia
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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.
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