Institution: Aarhus Universitet
Primary Field: Econometrics (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 | 2.02 | 1.68 | 0.34 | 4.04 | 78% |
| Last 10 Years | 0.00 | 2.02 | 1.68 | 0.34 | 4.04 | 66% |
| All Time | 0.00 | 2.02 | 1.68 | 0.34 | 4.04 | 80% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2023 | Targeting predictors in random forest regression | International Journal of Forecasting | B | 4 |
| 2023 | Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data | International Journal of Forecasting | B | 3 |
| 2023 | Quantifying investor narratives and their role during COVID‐19 | Journal of Applied Econometrics | B | 4 |
| 2022 | In Search of a Job: Forecasting Employment Growth Using Google Trends | Journal of Business & Economic Statistics | A | 2 |
| 2021 | Stock market volatility and public information flow: A non-linear perspective | Economics Letters | C | 3 |