Innocent Ndyetabula
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Co-authorship network of co-authors of Innocent Ndyetabula
This figure shows the co-authorship network connecting the top 25 collaborators of Innocent Ndyetabula. A scholar is included among the top collaborators of Innocent Ndyetabula 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 Innocent Ndyetabula. Innocent Ndyetabula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Innocent Ndyetabula
7 papers receiving 438 citations
Fields of papers citing papers by Innocent Ndyetabula
This network shows the impact of papers produced by Innocent Ndyetabula. 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 Innocent Ndyetabula. The network helps show where Innocent Ndyetabula may publish in the future.
Countries citing papers authored by Innocent Ndyetabula
This map shows the geographic impact of Innocent Ndyetabula'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 Innocent Ndyetabula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Innocent Ndyetabula more than expected).
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.