Valeria Bignozzi
About
In The Last Decade
Valeria Bignozzi
27 papers receiving 397 citations
Peers
Comparison fields: 5 of 33
- Management Science and Operations Research 323
- Finance 216
- Economics and Econometrics 180
- Statistics and Probability 87
- Demography 81
Countries citing papers authored by Valeria Bignozzi
This map shows the geographic impact of Valeria Bignozzi'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 Valeria Bignozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Bignozzi more than expected).
Fields of papers citing papers by Valeria Bignozzi
This network shows the impact of papers produced by Valeria Bignozzi. 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 Valeria Bignozzi. The network helps show where Valeria Bignozzi may publish in the future.
Co-authorship network of co-authors of Valeria Bignozzi
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Bignozzi. A scholar is included among the top collaborators of Valeria Bignozzi 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 Valeria Bignozzi. Valeria Bignozzi 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 | 5 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | Bayesian inference for L$_{p}$--quantile regression models | 1 |
| 11 | 50 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 126 | |
| 15 | 23 | |
| 16 | 28 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 5 |
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.