Institution: Australian National University
Primary Field: Energy (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 | 1.68 | 0.25 | 1.93 | - |
| Last 10 Years | 0.00 | 0.00 | 2.35 | 0.59 | 2.94 | - |
| All Time | 0.00 | 0.00 | 2.35 | 2.61 | 4.96 | - |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2024 | Heterogeneous productivity stabilizes public good contributions under certainty, uncertainty and ambiguity | Journal of Behavioral and Experimental Economics | B | 3 |
| 2024 | Do Remittances Finance Clean Energy in Bangladesh? Evidence from a Natural Experiment | The Energy Journal | B | 2 |
| 2021 | The impact of risk-based capital rules for international lending on income inequality: Global evidence | Economic Modeling | C | 4 |
| 2018 | Household energy elasticities and policy implications for Pakistan | Energy Policy | B | 3 |
| 2017 | How credible is inflation targeting in Asia? A quantile unit root perspective | Economic Modeling | C | 3 |
| 2013 | Remittances and the real effective exchange rate | Applied Economics | C | 2 |
| 2012 | An analysis of the determinants of the long-run growth rate of Bangladesh | Applied Economics | C | 2 |
| 2011 | A panel data analysis of the growth effects of remittances | Economic Modeling | C | 2 |
| 2011 | A panel data analysis of the growth effects of remittances | Economic Modeling | C | 2 |