Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Studies on mixtures of maize and beans (Phaseolus vulgaris) with particular reference to plant population
1972290 citationsR. W. Willey, D.S.O. OsiruThe Journal of Agricultural Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of D.S.O. Osiru'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 D.S.O. Osiru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.S.O. Osiru more than expected).
This network shows the impact of papers produced by D.S.O. Osiru. 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 D.S.O. Osiru. The network helps show where D.S.O. Osiru may publish in the future.
Co-authorship network of co-authors of D.S.O. Osiru
This figure shows the co-authorship network connecting the top 25 collaborators of D.S.O. Osiru.
A scholar is included among the top collaborators of D.S.O. Osiru 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 D.S.O. Osiru. D.S.O. Osiru is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Osiru, D.S.O., et al.. (2016). Genetic diversity and heterotic grouping of the core set of southern African and temperate maize (Zea mays L) inbred lines using SNP markers.. Maydica. 61(1). 9.9 indexed citations
Turyagyenda, Laban F., Elizabeth Balyejusa Kizito, Morag Ferguson, et al.. (2012). Genetic diversity among farmer-preferred cassava landraces in Uganda.. TSpace. 20(1). 15–30.38 indexed citations
6.
Osiru, D.S.O., et al.. (2010). Participatory selection and development of drought tolerant cassava varieties for farmers in marginal areas.. 1009–1012.1 indexed citations
7.
Osiru, D.S.O., et al.. (2005). Multilocational evaluation of selected local and improved cowpea lines in Uganda. TSpace. 13(4). 239–247.11 indexed citations
8.
Osiru, D.S.O., et al.. (2005). An overview of the agronomic constraints to simsim production in Uganda. 7. 1221–1228.4 indexed citations
9.
Mugisha, J., et al.. (2004). Profitability of sorghum-legume cropping practices among households in Eastern Uganda. Uganda Journal of Agricultural Sciences. 9(1). 688–692.2 indexed citations
Adipala, E., et al.. (2002). Effect of Time of Planting Cowpea (Vigna unguiculata (L.) Walp.) Relative to Maize (Zea mays L.) on Growth and Yield of Cowpea.4 indexed citations
Adipala, E., et al.. (1997). A survey of cowpea cropping systems in some districts of Uganda. 3. 665–672.10 indexed citations
16.
Adipala, E., et al.. (1997). Effect of weeding frequency on the cost-benefit ratio and yield advantage of cowpea/sorghum intercropping. 3. 865–869.2 indexed citations
Ezumah, H. C., et al.. (1990). Maize (Zea mays) genotypes for intercropping with cassava (Manihot esculenta) in southern Nigeria. 2. Growth morphological changes and yield advantages.. Discovery and Innovation. 2(2). 73–79.2 indexed citations
Willey, R. W. & D.S.O. Osiru. (1972). Studies on mixtures of maize and beans (Phaseolus vulgaris) with particular reference to plant population. The Journal of Agricultural Science. 79(3). 517–529.290 indexed citations breakdown →
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.