| COVID‐19 in rural Africa: Food access disruptions, food insecurity and coping strategies in Kenya, Namibia, and Tanzania MPJ Tabe‐Ojong, BH Gebrekidan, E Nshakira‐Rukundo, J Börner, ... Agricultural Economics 53 (5), 719-738, 2022 | 42 | 2022 |
| Characterizing farmers and farming system in Kilombero Valley Floodplain, Tanzania BH Gebrekidan, T Heckelei, S Rasch Sustainability 12 (17), 7114, 2020 | 28 | 2020 |
| Farmer advisory systems and pesticide use in legume-based systems in West Africa M Paul Jr, YS Nyam, JC Lokossou, BH Gebrekidan Science of The Total Environment 867, 161282, 2023 | 16 | 2023 |
| COVID-19 and food insecurity in Africa: A review of the emerging empirical evidence MP Jr. Tabe-Ojong, E Nshakira-Rukundo, B Haile Gebrekidan European Review of Agricultural Economics 50 (3), 853-878, 2023 | 10 | 2023 |
| COVID-19 and food (in) security in Africa: Review of the emerging empirical evidence MP Tabe-Ojong Jr, E Nshakira-Rukundo, B Gebrekidan Intl Food Policy Res Inst, 2022 | 6 | 2022 |
| Access to irrigation technology and technical efficiency: a comparison of households with and without access to irrigation technology, in ‘Gorogutu district’, Eastern Ethiopia BH Gebrekidan | 6 | 2012 |
| Behavioural factors matter for the adoption of climate-smart agriculture MPJ Tabe-Ojong, ME Kedinga, BH Gebrekidan Scientific Reports 14 (1), 798, 2024 | 5 | 2024 |
| Adoption of climate-resilient groundnut varieties increases agricultural production, consumption, and smallholder commercialization in West Africa MPJ Tabe-Ojong, JC Lokossou, B Gebrekidan, HD Affognon Nature Communications 14 (1), 5175, 2023 | 4 | 2023 |
| Adoption and impacts of agricultural technologies and sustainable natural resource management practices in fragile and conflict affected settings: A review and meta-analysis E Nshakira-Rukundo, MP Tabe-Ojong Jr, BH Gebrekidan, M Agaba, ... Intl Food Policy Res Inst, 2023 | 1 | 2023 |
| Modeling Farmers Intensi cation Decisions with a Bayesian Belief Network: The case of the Kilombero Floodplain in Tanzania BH Gebrekidan | 1 | 2018 |
| Machine Learning and Big Data to Identify Market Expectations and Surprises: Evidence from Scheduled USDA Reports ANQ Cao, B Gebrekidan, T Heckelei, MA Robe Available at SSRN 4515193, 2023 | | 2023 |
| Modeling intensification decisions in the Kilombero Valley floodplain: A Bayesian belief network approach BH Gebrekidan, T Heckelei, S Rasch Agricultural Economics 54 (1), 23-43, 2023 | | 2023 |
| Machine Learning and Big Data to Identify Market Expectations and Surprises: Evidence from Scheduled USDA Reports ANQ Cao, B Gebrekidan, T Heckelei, MA Robe Machine Learning and Big Data to Identify Market Expectations and Surprises …, 2023 | | 2023 |
| COVID-19 and Food (In) Security in Africa: Review of the Emerging Empirical Evidence (preprint) M Paul Jr, E Nshakira-Rukundo, B Gebrekidan | | 2022 |
| County-level USDA Crop Progress and Condition data, machine learning, and commodity market surprises ANQ Cao, BH Gebrekidan, T Heckelei, MA Robe | | 2022 |
| Modelling the dynamics of land use & intensification in the Kilombero Valley, Tanzania BH Gebrekidan Universitäts-und Landesbibliothek Bonn, 2021 | | 2021 |
| Migration, access to infrastructure and the pattern of land use and intensification in Kilombero Valley: An Agent-Based Modeling approach BH Gebrekidan, S Rasch, T Heckelei | | 2021 |
| Willingness to pay for a prospective COVID-19 vaccine in developing countries: evidence from East African countries. E Nshakira-Rukundo, B Gebrekidan, S Settumba, M Tabe-Ojong, ... | | |
| Extension typologies and sustainable intensification: Evidence from West Africa MPJ Tabe-Ojong, B Gebrekidan, J Lokossou, S Nyam | | |
