Prebashini Naidoo
About
In The Last Decade
Prebashini Naidoo
5 papers receiving 134 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Prebashini Naidoo South Africa | 5 | 82 | 82 | 67 | 59 | 9 | 5 | 144 | ||
| Devayani Niyogi India | 7 | 111 1.4× | 49 0.6× | 45 0.7× | 27 0.5× | 5 0.6× | 23 | 150 | ||
| Michael A. Napolitano United States | 8 | 99 1.2× | 65 0.8× | 27 0.4× | 37 0.6× | 15 1.7× | 34 | 179 | ||
| Kevin Yoong United Kingdom | 5 | 68 0.8× | 58 0.7× | 50 0.7× | 26 0.4× | 14 1.6× | 6 | 129 | ||
| Fady Yanni United Kingdom | 7 | 173 2.1× | 112 1.4× | 34 0.5× | 37 0.6× | 30 3.3× | 10 | 196 | ||
| Selmy Awad Egypt | 6 | 76 0.9× | 30 0.4× | 80 1.2× | 47 0.8× | 9 1.0× | 21 | 135 | ||
| Stefano Bonilauri Italy | 7 | 90 1.1× | 52 0.6× | 58 0.9× | 16 0.3× | 13 1.4× | 16 | 139 | ||
| F.H.W. Jonker Netherlands | 7 | 60 0.7× | 62 0.8× | 32 0.5× | 42 0.7× | 13 1.4× | 12 | 137 | ||
| Simone Targa Italy | 7 | 78 1.0× | 26 0.3× | 34 0.5× | 20 0.3× | 7 0.8× | 16 | 101 | ||
| Andrea Pisani Ceretti Italy | 3 | 62 0.8× | 77 0.9× | 15 0.2× | 15 0.3× | 13 1.4× | 4 | 146 | ||
| Patrick Fa-Si-Oen Netherlands | 5 | 232 2.8× | 22 0.3× | 183 2.7× | 117 2.0× | 22 2.4× | 8 | 276 |
Countries citing papers authored by Prebashini Naidoo
This map shows the geographic impact of Prebashini Naidoo'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 Prebashini Naidoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prebashini Naidoo more than expected).
Fields of papers citing papers by Prebashini Naidoo
This network shows the impact of papers produced by Prebashini Naidoo. 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 Prebashini Naidoo. The network helps show where Prebashini Naidoo may publish in the future.
Co-authorship network of co-authors of Prebashini Naidoo
This figure shows the co-authorship network connecting the top 25 collaborators of Prebashini Naidoo. A scholar is included among the top collaborators of Prebashini Naidoo 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 Prebashini Naidoo. Prebashini Naidoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
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.