The role of citation networks to explain academic promotions
An empirical analysis of the Italian national scientific qualification
Bibliographic Data
| ID | 21442903 |
|---|---|
| Authors | Maria Cristiana Martini (0000-0001-5622-9187, University of Modena and Reggio Emilia), Elvira Pelle (0000-0002-3247-4150, University of Modena and Reggio Emilia), Francesco Poggi (0000-0001-6577-5606, National Research Council, corresponding author), Andrea Sciandra (0000-0001-5621-5463, University of Modena and Reggio Emilia) |
| Year | 2022 |
| Volume | 127 |
| Issue | 10 |
| Pages | 5633-5659 |
| Publication date | 2022-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-022-04485-5 |
| OpenAlex | W4295018385 |
| Language | EN |
| Citations received | 2 |
| References cited | 38 |
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
Christian ministry · Citation · Citation analysis · Data science · Epistemology · Explanatory power · Library science · Maturity (psychological) · Network analysis · Political science · Scopus · Bioinformatics and Genomic Networks · Complex Network Analysis Techniques · Computer Science · Engineering · Psychology · scientometrics and bibliometrics research
Social Network Analysis
The practice of self-citations
On bibliometrics in academic promotions
Centrality in social networks conceptual clarification
Centrality and network flow
Rethinking centrality
An assessment of the first “scientific habilitation” for university appointments in Italy
Factoring and weighting approaches to status scores and clique identification
Power and Centrality
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |