This map shows the geographic impact of R. Kapinga'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 R. Kapinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Kapinga more than expected).
This network shows the impact of papers produced by R. Kapinga. 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 R. Kapinga. The network helps show where R. Kapinga may publish in the future.
Co-authorship network of co-authors of R. Kapinga
This figure shows the co-authorship network connecting the top 25 collaborators of R. Kapinga.
A scholar is included among the top collaborators of R. Kapinga 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 R. Kapinga. R. Kapinga is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grüneberg, Wolfgang J., Raúl Eyzaguirre, Federico Díaz, et al.. (2019). Procedures for the evaluation of sweetpotato trials.. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).8 indexed citations
Mwololo, J. K., et al.. (2009). Additive main effects and multiplicative interaction analysis of genotype x environmental interaction among sweetpotato genotypes. The Journal of Animal and Plant Sciences. 2(3). 148–155.8 indexed citations
Adipala, E., et al.. (2009). Yield Stability Analysis of 'Ipomoea batatus' L. Cultivars in Diverse Environments. Australian Journal of Crop Science. 3(4). 213–220.43 indexed citations
Mwololo, J. K., et al.. (2007). Strategies of maintaining sweetpotato nurseries free from insect vectors that spread sweetpotato virus disease. 2071–2074.3 indexed citations
10.
Mwololo, J. K., Elijah Ateka, R. W. Muinga, et al.. (2007). Resistance of sweetpotato genotypes to sweetpotato virus disease in coastal Kenya. 2083–2086.3 indexed citations
Kapinga, R., et al.. (2005). On-farm evaluation of orange-fleshed sweetpotato varieties in northeastern Uganda. 7. 603–609.5 indexed citations
13.
Kapinga, R., et al.. (2005). Participatory on-farm selection of sweetpotato varieties in some provinces of Rwanda. 7. 1205–1209.5 indexed citations
14.
Kapinga, R., et al.. (2005). Role of orange-fleshed sweet potato in disaster mitigation: experiences from East and Southern Africa. 7. 1321–1329.11 indexed citations
15.
Namutebi, Agnes, et al.. (2004). Long-term storage of sweetpotato by small-scale farmers through improved post harvest technologies. Uganda Journal of Agricultural Sciences. 9(1). 914–922.4 indexed citations
16.
Kapinga, R. & Edward E. Carey. (2003). Sweetpotato post-harvest assessment: experiences from East Africa. Chapter 1. Present status of sweetpotato breeding for eastern and southern Africa..1 indexed citations
17.
Rees, D., et al.. (2001). Effect of damage on market value and shelf-life of sweet potato in urban markets in Tanzania.. Tropical Science. 41(3). 1–9.14 indexed citations
Rees, D., et al.. (1998). The potential for extending the shelflife of sweetpotato in East Africa through cultivar selection 208. Tropical Agriculture. 75(2). 208–211.9 indexed citations
20.
Kapinga, R., et al.. (1998). Diversification of cassava utilization in the Lake Zone of Tanzania: A case study 125. Tropical Agriculture. 75(1). 125–128.1 indexed citations
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.