Anushka Naidoo
About
In The Last Decade
Anushka Naidoo
32 papers receiving 784 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Anushka Naidoo South Africa | 14 | 569 | 415 | 165 | 84 | 71 | 34 | 804 | ||
| Kidola Jeremiah Tanzania | 20 | 831 1.5× | 600 1.4× | 301 1.8× | 62 0.7× | 66 0.9× | 58 | 1.2k | ||
| Mohammed Rassool South Africa | 11 | 573 1.0× | 325 0.8× | 124 0.8× | 144 1.7× | 69 1.0× | 25 | 764 | ||
| Liesl Page‐Shipp South Africa | 14 | 689 1.2× | 552 1.3× | 218 1.3× | 50 0.6× | 30 0.4× | 27 | 853 | ||
| Joseph Musaazi Uganda | 13 | 487 0.9× | 251 0.6× | 62 0.4× | 116 1.4× | 93 1.3× | 66 | 637 | ||
| Norbert Ndjeka South Africa | 19 | 1.1k 2.0× | 815 2.0× | 320 1.9× | 31 0.4× | 67 0.9× | 55 | 1.3k | ||
| Heather R. Draper South Africa | 18 | 568 1.0× | 363 0.9× | 170 1.0× | 33 0.4× | 82 1.2× | 49 | 779 | ||
| James C.M. Brust United States | 20 | 813 1.4× | 687 1.7× | 227 1.4× | 23 0.3× | 35 0.5× | 34 | 1.0k | ||
| Philip Onyebujoh South Africa | 16 | 499 0.9× | 332 0.8× | 155 0.9× | 19 0.2× | 20 0.3× | 33 | 706 | ||
| Ian Sanne South Africa | 16 | 800 1.4× | 602 1.5× | 229 1.4× | 43 0.5× | 37 0.5× | 31 | 959 | ||
| Anne Efron United States | 12 | 861 1.5× | 650 1.6× | 199 1.2× | 82 1.0× | 166 2.3× | 13 | 976 |
Countries citing papers authored by Anushka Naidoo
This map shows the geographic impact of Anushka 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 Anushka Naidoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anushka Naidoo more than expected).
Fields of papers citing papers by Anushka Naidoo
This network shows the impact of papers produced by Anushka 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 Anushka Naidoo. The network helps show where Anushka Naidoo may publish in the future.
Co-authorship network of co-authors of Anushka Naidoo
This figure shows the co-authorship network connecting the top 25 collaborators of Anushka Naidoo. A scholar is included among the top collaborators of Anushka 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 Anushka Naidoo. Anushka 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.