Fabrizia Mealli
- Statistics and Probability top 0.5%
- Economics and Econometrics top 2%
- Sociology and Political Science top 10%
- Education top 10%
- Safety Research top 5%
- Co-authors
- Donald B. RubinAlessandra MatteiBarbara PaciniBruno ArpinoAndrea IchinoTommaso NanniciniFan LiLorenzo Guarcello
- Topics
- Advanced Causal Inference Techniques (41 papers)Statistical Methods and Inference (25 papers)Statistical Methods and Bayesian Inference (23 papers)
- Journals
- Journal of the American Statistical AssociationPLoS ONEThe Science of The Total Environment
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Fabrizia Mealli
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 771
- Economics and Econometrics 421
- Sociology and Political Science 158
- Education 140
- Safety Research 139
Countries citing papers authored by Fabrizia Mealli
This map shows the geographic impact of Fabrizia Mealli'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 Fabrizia Mealli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizia Mealli more than expected).
Fields of papers citing papers by Fabrizia Mealli
This network shows the impact of papers produced by Fabrizia Mealli. 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 Fabrizia Mealli. The network helps show where Fabrizia Mealli may publish in the future.
Co-authorship network of co-authors of Fabrizia Mealli
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizia Mealli. A scholar is included among the top collaborators of Fabrizia Mealli 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 Fabrizia Mealli. Fabrizia Mealli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 27 | |
| 11 | 14 | |
| 12 | 51 | |
| 13 | 30 | |
| 14 | 106 | |
| 15 | 25 | |
| 16 | Temporary Work Agencies in Italy: A Springboard Toward Permanent Employment? | 60 |
| 17 | 65 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 3 |
About Fabrizia Mealli
Fabrizia Mealli is a scholar working on Statistics and Probability, Industrial relations and Economics and Econometrics, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (41 papers), Statistical Methods and Inference (25 papers) and Statistical Methods and Bayesian Inference (23 papers). The work is most often cited by research in Statistics and Probability (771 citations), Safety Research (139 citations) and Economics and Econometrics (421 citations). Fabrizia Mealli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Donald B. Rubin, Alessandra Mattei, Barbara Pacini, Bruno Arpino, Andrea Ichino, Tommaso Nannicini, Fan Li, Lorenzo Guarcello, Furio C. Rosati and Junni L. Zhang. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and The Science of The Total Environment.
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.