Institution: Unknown
Primary Field: Labor (weighted toward more recent publications)
Homepage: https://denimazrekaj.com
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 | 0.67 | 0.00 | 0.67 | 22% |
| Last 10 Years | 0.00 | 0.00 | 1.18 | 0.34 | 1.51 | 37% |
| All Time | 0.00 | 0.00 | 1.18 | 0.34 | 1.51 | 70% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2024 | Identifying Politically Connected Firms: A Machine Learning Approach | Oxford Bulletin of Economics and Statistics | B | 3 |
| 2019 | Does it matter when your smartest peers leave your class? Evidence from Hungary | Labour Economics | B | 4 |
| 2019 | Labour market consequences of a high school diploma | Applied Economics | C | 3 |