Institution: Universidad Pontificia Comillas
Primary Field: Econometrics (weighted toward more recent publications)
Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.01: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total |
|---|---|---|---|---|---|
| Last 5 Years | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| Last 10 Years | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| All Time | 0.00 | 0.00 | 4.02 | 0.00 | 4.02 |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2010 | Electric power demand forecasting using interval time series: A comparison between VAR and iMLP | Energy Policy | B | 2 |
| 2009 | Svetlozar, T. Rachev, John S.J. Hsu, B.S. Bagasheva and F.J. Fabozzi , Bayesian Methods in Finance, John Wiley and Sons, USA (2008) ISBN 978-0-471-92083-0 (hardcover), $95, 329 pages. | International Journal of Forecasting | B | 1 |
| 2009 | Forecasting histogram time series with k-nearest neighbours methods | International Journal of Forecasting | B | 2 |