Silvia Cagnone
- Statistics and Probability top 5%
- Public Health, Environmental and Occupational Health
- Sociology and Political Science
- Artificial Intelligence
- Organizational Behavior and Human Resource Management
- Co-authors
- Cristina BerniniSilvia BianconciniIrini MoustakiVassilis VasdekisCinzia ViroliTino Bech‐LarsenAnna SabaW. Bruce Traill
- Topics
- Statistical Methods and Bayesian Inference (10 papers)Statistical Methods and Inference (7 papers)Advanced Statistical Methods and Models (6 papers)
- Cited by
- Statistics and ProbabilityApplied PsychologyOrganizational Behavior and Human Resource Management
- Partner nations
- ItalyUnited KingdomGreece
In The Last Decade
Silvia Cagnone
27 papers receiving 286 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 98
- Public Health, Environmental and Occupational Health 65
- Sociology and Political Science 57
- Artificial Intelligence 53
- Organizational Behavior and Human Resource Management 38
Countries citing papers authored by Silvia Cagnone
This map shows the geographic impact of Silvia Cagnone's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvia Cagnone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Cagnone more than expected).
Fields of papers citing papers by Silvia Cagnone
This network shows the impact of papers produced by Silvia Cagnone. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvia Cagnone. The network helps show where Silvia Cagnone may publish in the future.
Co-authorship network of co-authors of Silvia Cagnone
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Cagnone. A scholar is included among the top collaborators of Silvia Cagnone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Cagnone. Silvia Cagnone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | A Power Study of the GFfit Statistic as a Lack-of-Fit Diagnostic | 1 |
| 8 | 98 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 21 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 46 | |
| 15 | Regressione lineare multipla 2 | 0 |
| 16 | 26 | |
| 17 | Assessing the goodness of fit of a latent variable model for ordinal data | 4 |
| 18 | STUDENT ABILITY ASSESSMENT ON TWO IRT MODELS | 3 |
| 19 | 2 | |
| 20 | New developments of latent variable models with ordinal data | 2 |
About Silvia Cagnone
Silvia Cagnone is a scholar working on Statistics and Probability, Management Science and Operations Research and Tourism, Leisure and Hospitality Management, having authored 28 papers that have together received 301 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (7 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics and Probability (98 citations), Applied Psychology (24 citations) and Organizational Behavior and Human Resource Management (38 citations). Silvia Cagnone has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Cristina Bernini, Silvia Bianconcini, Irini Moustaki, Vassilis Vasdekis, Cinzia Viroli, Tino Bech‐Larsen, Anna Saba, W. Bruce Traill, Mario Mazzocchi and Bhavani Shankar. Their work appears in journals such as Statistics in Medicine, Psychometrika and Educational and Psychological Measurement.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.