Anele Mnguni
About
In The Last Decade
Anele Mnguni
2 papers receiving 6 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|---|---|
| Anele Mnguni South Africa | 2 | 5 | 3 | 2 | 1 | 2 | 6 | ||
| Umar Faruok Ibrahim Nigeria | 2 | 5 1.0× | 2 0.7× | 7 | 7 | ||||
| Long Hua | 2 | 3 0.6× | 2 0.7× | 2 1.0× | 2 | 5 | |||
| M. Pfaundler | 2 | 3 0.6× | 3 1.0× | 2 1.0× | 2 2.0× | 2 | 7 | ||
| Amy Choi Canada | 2 | 4 0.8× | 2 1.0× | 2 | 5 | ||||
| Jean Leite Tavares Brazil | 2 | 2 0.4× | 3 1.0× | 6 | 7 | ||||
| Frank Collins Baker | 3 | 8 1.6× | 2 0.7× | 5 2.5× | 4 | 9 | |||
| P. Silva Brazil | 2 | 2 0.4× | 2 0.7× | 4 | 5 | ||||
| Kathryn Allison United Kingdom | 2 | 4 0.8× | 3 1.5× | 1 1.0× | 2 | 10 | |||
| Shannon M. Schlater United States | 2 | 5 1.0× | 2 1.0× | 2 2.0× | 2 | 6 | |||
| Y. Maruyama Japan | 2 | 2 0.4× | 2 0.7× | 2 | 7 |
Countries citing papers authored by Anele Mnguni
This map shows the geographic impact of Anele Mnguni'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 Anele Mnguni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anele Mnguni more than expected).
Fields of papers citing papers by Anele Mnguni
This network shows the impact of papers produced by Anele Mnguni. 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 Anele Mnguni. The network helps show where Anele Mnguni may publish in the future.
All Works
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.