Wadaka Mamaï
About
In The Last Decade
Wadaka Mamaï
40 papers receiving 564 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wadaka Mamaï Austria | 17 | 393 | 378 | 138 | 71 | 46 | 42 | 569 | ||
| Chun-Xiao Li China | 12 | 190 0.5× | 357 0.9× | 153 1.1× | 111 1.6× | 22 0.5× | 31 | 483 | ||
| Clélia F. Oliva Austria | 12 | 454 1.2× | 434 1.1× | 116 0.8× | 86 1.2× | 7 0.2× | 16 | 594 | ||
| Joshua B. Benoit United States | 9 | 286 0.7× | 114 0.3× | 49 0.4× | 84 1.2× | 49 1.1× | 11 | 421 | ||
| Hanano Yamada Austria | 19 | 845 2.2× | 655 1.7× | 226 1.6× | 154 2.2× | 19 0.4× | 59 | 1.0k | ||
| Luana Cristina Farnesi Brazil | 10 | 298 0.8× | 338 0.9× | 170 1.2× | 143 2.0× | 25 0.5× | 17 | 590 | ||
| Gail M. Chambers United States | 8 | 224 0.6× | 317 0.8× | 87 0.6× | 38 0.5× | 33 0.7× | 10 | 431 | ||
| Colince Kamdem United States | 13 | 136 0.3× | 343 0.9× | 148 1.1× | 186 2.6× | 43 0.9× | 18 | 562 | ||
| Susanne E. Timmermann Switzerland | 6 | 202 0.5× | 341 0.9× | 151 1.1× | 46 0.6× | 50 1.1× | 8 | 458 | ||
| Paul Howell United States | 12 | 280 0.7× | 494 1.3× | 166 1.2× | 199 2.8× | 17 0.4× | 19 | 704 | ||
| Nanwintoum Séverin Bimbilé Somda Austria | 16 | 358 0.9× | 287 0.8× | 110 0.8× | 74 1.0× | 8 0.2× | 34 | 445 |
Countries citing papers authored by Wadaka Mamaï
This map shows the geographic impact of Wadaka Mamaï'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 Wadaka Mamaï with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wadaka Mamaï more than expected).
Fields of papers citing papers by Wadaka Mamaï
This network shows the impact of papers produced by Wadaka Mamaï. 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 Wadaka Mamaï. The network helps show where Wadaka Mamaï may publish in the future.
Co-authorship network of co-authors of Wadaka Mamaï
This figure shows the co-authorship network connecting the top 25 collaborators of Wadaka Mamaï. A scholar is included among the top collaborators of Wadaka Mamaï 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 Wadaka Mamaï. Wadaka Mamaï 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.