Aliou Diagne
About
In The Last Decade
Aliou Diagne
82 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- General Agricultural and Biological Sciences 1.1k
- Plant Science 815
- Soil Science 635
- Economics and Econometrics 611
- Ecology, Evolution, Behavior and Systematics 372
Countries citing papers authored by Aliou Diagne
This map shows the geographic impact of Aliou Diagne'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 Aliou Diagne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliou Diagne more than expected).
Fields of papers citing papers by Aliou Diagne
This network shows the impact of papers produced by Aliou Diagne. 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 Aliou Diagne. The network helps show where Aliou Diagne may publish in the future.
Co-authorship network of co-authors of Aliou Diagne
This figure shows the co-authorship network connecting the top 25 collaborators of Aliou Diagne. A scholar is included among the top collaborators of Aliou Diagne 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 Aliou Diagne. Aliou Diagne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distributional Impact of Agricultural Technology Adoption on Rice Farmers’ Expenditure: The Case of Nigeria in Benin | 1 |
| 2 | Contract farming preferences by smallholder rice producers in Africa: a stated choice model using mixed logic | 1 |
| 3 | Gender differential Impact of NERICA adoption on Total Factor Productivity: evidence from Benin Republic | 1 |
| 4 | Impact of Use of Credit in rice farming on rice Productivity and Income in Benin | 1 |
| 5 | 28 | |
| 6 | DETERMINANTS OF ADOPTION OF IMPROVED RICE VARIETIES IN SELECTED LOCAL GOVERNMENT AREAS IN NASARAWA STATE, NIGERIA | 3 |
| 7 | Agricultural Technology Adoption, Market Participation and Rural Farming Households’ Welfare in Nigeria | 1 |
| 8 | Wealth Status and Improved Rice Varieties Adoption Among Smallholder Farmers in Nigeria | 2 |
| 9 | 7 | |
| 10 | Regional Bulk Purchase of Imported Rice Initiative by ECOWAS: A Feasibility Assessment | 2 |
| 11 | DIFFUSION AND ADOPTION OF NEW RICE VARIETIES FOR AFRICA (NERICA) IN THE GAMBIA | 22 |
| 12 | Adoption and economics of new rice for Africa (NERICA) among rice farmers in Ekiti State, Nigeria. | 9 |
| 13 | Wealth Status and Agricultural Technology Adoption Among Smallholder Rice Farmers in Nigeria | 22 |
| 14 | 1 | |
| 15 | Effect of Income Diversification on Poverty Reduction and Income Inequality in Rural Nigeria: Evidence from Rice Farming Households | 8 |
| 16 | Impact of the Adoption of Soil and Water Conservation Practices on Crop Production: Baseline Evidence of the Sub Saharan Africa Challenge Programme | 18 |
| 17 | Impact of Access to Subsidized Certified Improved Rice Seed on Income: Evidence from Rice Farming Households in Nigeria | 17 |
| 18 | Estimation of Actual and Potential Adoption Rates and Determinants of Improved Rice Variety Among Rice Farmers in Nigeria: The Case of NERICAs | 3 |
| 19 | Determinants of Agricultural Technology adoption: the case of improved groundnut varieties in Malawi | 1 |
| 20 | Gender Inequality Impact on Income, Productivity and Technical Efficiency: Evidence from Koussin-Lélé Rice Scheme in Benin | 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.