Linden McBride
About
In The Last Decade
Linden McBride
14 papers receiving 354 citations
Peers
Comparison fields: 5 of 75
- Soil Science 109
- General Agricultural and Biological Sciences 102
- Economics and Econometrics 88
- Sociology and Political Science 86
- Global and Planetary Change 64
Countries citing papers authored by Linden McBride
This map shows the geographic impact of Linden McBride's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Linden McBride with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linden McBride more than expected).
Fields of papers citing papers by Linden McBride
This network shows the impact of papers produced by Linden McBride. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Linden McBride. The network helps show where Linden McBride may publish in the future.
Co-authorship network of co-authors of Linden McBride
This figure shows the co-authorship network connecting the top 25 collaborators of Linden McBride. A scholar is included among the top collaborators of Linden McBride based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linden McBride. Linden McBride is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning | Proceedings of the National Academy of Sciences | Linden McBride, Christopher B. Barrett et al. | 1 |
| 2 | Multivariate random forest prediction of poverty and malnutrition prevalence | PLoS ONE | David S. Matteson, Linden McBride et al. | 33 |
| 3 | Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning | Applied Economic Perspectives and Policy | Linden McBride, Christopher B. Barrett et al. | 28 |
| 4 | Empirical assessment of subjective and objective soil fertility metrics in east Africa: Implications for researchers and policy makers | World Development | Julia Berazneva, Linden McBride et al. | 38 |
| 5 | Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning | The World Bank Open Knowledge Repository (World Bank) | Linden McBride, Austin Nichols | 31 |
| 6 | Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning | The World Bank Economic Review | Linden McBride, Austin Nichols | 33 |
| 7 | Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning | World Bank, Washington, DC eBooks | Linden McBride, Austin Nichols | 10 |
| 8 | Well-Being Dynamics and Poverty Traps | Annual Review of Resource Economics | Christopher B. Barrett, Teevrat Garg et al. | 91 |
| 9 | Safety nets in Africa | Kalanidhi Subbarao, Bradford F. Mills et al. | 1 | |
| 10 | Propensity Scores and Causal Inference Using Machine Learning Methods | Linden McBride | 1 | |
| 11 | A Comment on “The Welfare Impacts of Commodity Price Volatility: Evidence from Rural Ethiopia” | American Journal of Agricultural Economics | Linden McBride | 7 |
| 12 | Agricultural intensification in Ghana: Evaluating the optimist’s case for a Green Revolution | Food Policy | Alejandro Nin‐Pratt, Linden McBride | 70 |
| 13 | The impacts of public investment in and for agriculture: synthesis of the existing evidence | AgEcon Search (University of Minnesota, USA) | Tewodaj Mogues, Bingxin Yu et al. | 41 |
| 14 | IRBs and continuing review: regulatory interference or vital safeguard? | PubMed | Linden McBride et al. | 1 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.