William Ndegwa
- Ecology, Evolution, Behavior and Systematics top 10%
- Public Health, Environmental and Occupational Health
- Soil Science top 10%
- Global and Planetary Change
- General Agricultural and Biological Sciences top 5%
- Co-authors
- Andrew K. GithekoK. P. C. RaoSam BarrettGiuseppe MaggioDavid MacLeodAndrew ColmanRobinson K. NgugiEmmah Mwangi
- Topics
- Climate change impacts on agriculture (4 papers)Agricultural risk and resilience (3 papers)Mosquito-borne diseases and control (1 paper)
- Cited by
- Soil ScienceEcology, Evolution, Behavior and SystematicsGeneral Agricultural and Biological Sciences
- Journals
- Climate and DevelopmentExperimental AgricultureInternational Journal of Agricultural Resources Governance and Ecology
- Partner nations
- KenyaUnited KingdomItaly
In The Last Decade
William Ndegwa
6 papers receiving 285 citations
Peers
Comparison fields: 5 of 56
- Ecology, Evolution, Behavior and Systematics 127
- Public Health, Environmental and Occupational Health 120
- Soil Science 65
- Global and Planetary Change 60
- General Agricultural and Biological Sciences 51
Countries citing papers authored by William Ndegwa
This map shows the geographic impact of William Ndegwa'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 William Ndegwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Ndegwa more than expected).
Fields of papers citing papers by William Ndegwa
This network shows the impact of papers produced by William Ndegwa. 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 William Ndegwa. The network helps show where William Ndegwa may publish in the future.
Co-authorship network of co-authors of William Ndegwa
This figure shows the co-authorship network connecting the top 25 collaborators of William Ndegwa. A scholar is included among the top collaborators of William Ndegwa 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 William Ndegwa. William Ndegwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 137 | |
| 5 | Kenya : improving farmer adaptive capacity by integrating local and indigenous knowledge in climate forecasting and adaptive response | 2 |
| 6 | 153 |
About William Ndegwa
William Ndegwa is a scholar working on Soil Science, Ecology, Evolution, Behavior and Systematics and General Agricultural and Biological Sciences, having authored 6 papers that have together received 317 indexed citations. Recurring topics across this work include Climate change impacts on agriculture (4 papers), Agricultural risk and resilience (3 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Soil Science (65 citations), Ecology, Evolution, Behavior and Systematics (127 citations) and General Agricultural and Biological Sciences (51 citations). William Ndegwa has collaborated with scholars based in Kenya, United Kingdom and Italy. Frequent co-authors include Andrew K. Githeko, K. P. C. Rao, Sam Barrett, Giuseppe Maggio, David MacLeod, Andrew Colman, Robinson K. Ngugi, Emmah Mwangi, Martin C. Todd and Dominic Kniveton. Their work appears in journals such as Climate and Development, Experimental Agriculture and International Journal of Agricultural Resources Governance and Ecology.
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.