Farai Chinanayi
About
In The Last Decade
Farai Chinanayi
13 papers receiving 312 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Farai Chinanayi South Africa | 10 | 212 | 163 | 119 | 63 | 35 | 13 | 320 | ||
| Jyoti Jaggernath South Africa | 9 | 247 1.2× | 187 1.1× | 120 1.0× | 67 1.1× | 33 0.9× | 17 | 415 | ||
| Olalekan A. Oduntan South Africa | 13 | 185 0.9× | 122 0.7× | 108 0.9× | 50 0.8× | 18 0.5× | 35 | 340 | ||
| Ving Fai Chan United Kingdom | 14 | 248 1.2× | 303 1.9× | 161 1.4× | 68 1.1× | 15 0.4× | 51 | 440 | ||
| Tafida Abubakar United Kingdom | 10 | 400 1.9× | 256 1.6× | 267 2.2× | 54 0.9× | 27 0.8× | 14 | 549 | ||
| Prasidh Ramson South Africa | 11 | 207 1.0× | 243 1.5× | 144 1.2× | 38 0.6× | 13 0.4× | 19 | 330 | ||
| Gabriel Entekume United Kingdom | 8 | 336 1.6× | 195 1.2× | 220 1.8× | 26 0.4× | 13 0.4× | 8 | 466 | ||
| Cristina Eusebio United Kingdom | 8 | 177 0.8× | 186 1.1× | 105 0.9× | 96 1.5× | 73 2.1× | 9 | 325 | ||
| Priya Morjaria United Kingdom | 10 | 135 0.6× | 172 1.1× | 114 1.0× | 21 0.3× | 4 0.1× | 39 | 284 | ||
| Hessom Razavi Australia | 6 | 141 0.7× | 103 0.6× | 101 0.8× | 24 0.4× | 9 0.3× | 25 | 216 | ||
| Yuddha Dhoj Sapkota Nepal | 13 | 383 1.8× | 374 2.3× | 285 2.4× | 30 0.5× | 12 0.3× | 28 | 510 |
Countries citing papers authored by Farai Chinanayi
This map shows the geographic impact of Farai Chinanayi'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 Farai Chinanayi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farai Chinanayi more than expected).
Fields of papers citing papers by Farai Chinanayi
This network shows the impact of papers produced by Farai Chinanayi. 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 Farai Chinanayi. The network helps show where Farai Chinanayi may publish in the future.
Co-authorship network of co-authors of Farai Chinanayi
This figure shows the co-authorship network connecting the top 25 collaborators of Farai Chinanayi. A scholar is included among the top collaborators of Farai Chinanayi 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 Farai Chinanayi. Farai Chinanayi 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.