Mawuli Nyaku
About
In The Last Decade
Mawuli Nyaku
30 papers receiving 555 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mawuli Nyaku United States | 16 | 265 | 203 | 139 | 85 | 81 | 32 | 574 | ||
| David Ishola United Kingdom | 11 | 92 0.3× | 145 0.7× | 103 0.7× | 30 0.4× | 24 0.3× | 17 | 520 | ||
| Bruno Kenfack Cameroon | 15 | 98 0.4× | 336 1.7× | 81 0.6× | 65 0.8× | 11 0.1× | 66 | 651 | ||
| Paul A. Stehr‐Green United States | 17 | 259 1.0× | 343 1.7× | 88 0.6× | 51 0.6× | 7 0.1× | 37 | 928 | ||
| Ivelina Yonova United Kingdom | 14 | 148 0.6× | 525 2.6× | 135 1.0× | 20 0.2× | 26 0.3× | 34 | 742 | ||
| Chukwudi A Nnaji South Africa | 13 | 123 0.5× | 70 0.3× | 61 0.4× | 15 0.2× | 18 0.2× | 42 | 336 | ||
| Sherrie L. Kelly Australia | 17 | 66 0.2× | 254 1.3× | 463 3.3× | 68 0.8× | 34 0.4× | 46 | 959 | ||
| Edmond F. Maes United States | 11 | 199 0.8× | 216 1.1× | 70 0.5× | 13 0.2× | 37 0.5× | 17 | 513 | ||
| Jamison Pike United States | 11 | 96 0.4× | 164 0.8× | 132 0.9× | 18 0.2× | 8 0.1× | 33 | 604 | ||
| Shaza A. Fadel Canada | 14 | 167 0.6× | 553 2.7× | 235 1.7× | 31 0.4× | 17 0.2× | 32 | 1.2k | ||
| Jesus Sarol Philippines | 17 | 31 0.1× | 225 1.1× | 338 2.4× | 77 0.9× | 131 1.6× | 47 | 895 |
Countries citing papers authored by Mawuli Nyaku
This map shows the geographic impact of Mawuli Nyaku'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 Mawuli Nyaku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mawuli Nyaku more than expected).
Fields of papers citing papers by Mawuli Nyaku
This network shows the impact of papers produced by Mawuli Nyaku. 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 Mawuli Nyaku. The network helps show where Mawuli Nyaku may publish in the future.
Co-authorship network of co-authors of Mawuli Nyaku
This figure shows the co-authorship network connecting the top 25 collaborators of Mawuli Nyaku. A scholar is included among the top collaborators of Mawuli Nyaku 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 Mawuli Nyaku. Mawuli Nyaku 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.