Institution: Prometeia
Primary Field: International (weighted toward more recent publications)
Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.02: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total | Percentile |
|---|---|---|---|---|---|---|
| Last 5 Years | 0.00 | 0.00 | 0.40 | 0.00 | 0.40 | 7% |
| Last 10 Years | 0.00 | 0.00 | 0.40 | 0.00 | 0.40 | 6% |
| All Time | 0.00 | 0.00 | 2.42 | 0.00 | 2.42 | 75% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2022 | A machine learning approach to rank the determinants of banking crises over time and across countries | Journal of International Money and Finance | B | 5 |
| 2013 | Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data | Journal of Banking & Finance | B | 1 |