Institution: University of Guelph
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 | 0.00 | 0.00 | 0.00 | 0.00 | - |
| Last 10 Years | 0.00 | 0.00 | 0.34 | 0.00 | 0.34 | 5% |
| All Time | 0.00 | 0.00 | 8.07 | 0.00 | 8.07 | 86% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2019 | Transitions between technological generations of alternative fuel vehicles in Brazil | Energy Policy | B | 6 |
| 2015 | Forecasting in telecommunications and ICT—A review | International Journal of Forecasting | B | 2 |
| 2015 | Firm level innovation diffusion of 3G mobile connections in international context | International Journal of Forecasting | B | 2 |
| 2014 | Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data | Energy Policy | B | 1 |
| 2013 | The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation | Energy Policy | B | 2 |
| 2006 | Modelling and forecasting the diffusion of innovation - A 25-year review | International Journal of Forecasting | B | 2 |
| 2002 | Modelling multinational telecommunications demand with limited data | International Journal of Forecasting | B | 3 |
| 1995 | Forecasting with growth curves: An empirical comparison | International Journal of Forecasting | B | 2 |