Institution: European Commission
Primary Field: Econometrics (weighted toward more recent publications)
Homepage: https://lucabarbaglia.github.io/
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 | 1.35 | 1.01 | 0.20 | 2.56 | 63% |
| Last 10 Years | 0.00 | 4.04 | 1.01 | 0.20 | 5.25 | 73% |
| All Time | 0.00 | 4.04 | 1.01 | 0.20 | 5.25 | 82% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2025 | Sentiment analysis of economic text: A lexicon‐based approach | Economic Inquiry | C | 5 |
| 2024 | Forecasting GDP in Europe with textual data | Journal of Applied Econometrics | B | 3 |
| 2023 | Testing big data in a big crisis: Nowcasting under Covid-19 | International Journal of Forecasting | B | 6 |
| 2023 | Forecasting with Economic News | Journal of Business & Economic Statistics | A | 3 |
| 2020 | Volatility spillovers in commodity markets: A large t-vector autoregressive approach | Energy Economics | A | 3 |
| 2016 | Commodity dynamics: A sparse multi-class approach | Energy Economics | A | 3 |