| Poverty reduction during the rural–urban transformation: Rural development is still more important than urbanisation KS Imai, R Gaiha, A Garbero Journal of Policy Modeling 39 (6), 963-982, 2017 | 84 | 2017 |
| Impacts of the 2010 droughts and floods on community welfare in rural Thailand: Differential effects of village educational attainment A Garbero, R Muttarak Ecology and Society 18 (4), 2013 | 76 | 2013 |
| Patterns of vulnerability to AIDS impacts in Zambian households E Wiegers, J Curry, A Garbero, J Hourihan Development and change 37 (5), 1073-1092, 2006 | 58 | 2006 |
| Quantitative analyses for resilience measurement M d’Errico, A Garbero, M Constas Guidance for constructing variables and exploring relationships among …, 2016 | 38 | 2016 |
| Evaluating program impact on resilience: Evidence from Lesotho’s Child Grants Programme M d’Errico, A Garbero, M Letta, P Winters The Journal of Development Studies 56 (12), 2212-2234, 2020 | 33 | 2020 |
| The potential of agricultural programs for improving food security: A multi-country perspective A Garbero, L Jäckering Global Food Security 29, 100529, 2021 | 32 | 2021 |
| Poverty Reduction During the Rural-Urban Transformation: Rural Development is Still More Important than Urbanisation? KS Imai, R Gaiha, A Garbero Brooks World Poverty Institute Working Paper, 2014 | 25 | 2014 |
| Impact of modern irrigation on household production and welfare outcomes A Garbero, T Songsermsawas Evidence from the Participatory Small-Scale Irrigation Development Programme …, 2018 | 21 | 2018 |
| Estimating poverty dynamics using synthetic panels for IFAD-supported projects: a case study from Vietnam A Garbero Journal of Development Effectiveness 6 (4), 490-510, 2014 | 21 | 2014 |
| Harnessing the power of machine learning analytics to understand food systems dynamics across development projects A Garbero, B Carneiro, G Resce Technological Forecasting and Social Change 172, 121012, 2021 | 17 | 2021 |
| IFAD Research Series No. 33-The Impact of the Adoption of CGIAR's Improved Varieties on Poverty and Welfare Outcomes: A Systematic Review A Garbero, P Marion, V Brailovskaya IFAD Research Series 33, 2018 | 14 | 2018 |
| Predicting household resilience with machine learning: preliminary cross-country tests A Garbero, M Letta Empirical Economics 63 (4), 2057-2070, 2022 | 11 | 2022 |
| Matching grants and economic activities among horticultural entrepreneurs: Long-term evidence from Rwanda M Hossain, A Mabiso, A Garbero World Development 150, 105712, 2022 | 11 | 2022 |
| Supporting impact with evidence: a content analysis of project completion reports B Carneiro, A Garbero The Journal of Development Studies 54 (8), 1426-1449, 2018 | 11 | 2018 |
| Forecasting mortality convergence up to 2100 A Garbero, WC Sanderson International Institute for Applied Systems Analysis, 2012 | 10 | 2012 |
| IFAD RESEARCH SERIES 7-Measuring IFAD's Impact: Background Paper to the IFAD9 Impact Assessment Initiative A Garbero IFAD Research series, 2016 | 9 | 2016 |
| Gender, HIV/AIDS and rural livelihoods: Micro-level investigations in three African countries J Curry, E Wiegers, A Garbero, S Stokes, J Hourihan Food Insecurity, Vulnerability and Human Rights Failure, 131-160, 2007 | 9 | 2007 |
| Quantitative analyses for resilience measurement. Guidance for constructing variables and exploring relationships among variables: Resilience measurement technical working … M Constas, M d'Errico, A Garbero Food security information network, 2019 | 8 | 2019 |
| Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators MT van Wijk, C Alvarez, G Anupama, E Arnaud, C Azzarri, D Burra, ... CGIAR Platform for Big Data in Agriculture, 2019 | 8 | 2019 |
| Spatial dynamics across food systems transformation in IFAD investments: a machine learning approach A Garbero, G Resce, B Carneiro Food Security 13 (5), 1125-1143, 2021 | 7 | 2021 |
