Mercy PrabhuDas
About
In The Last Decade
Mercy PrabhuDas
14 papers receiving 1.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mercy PrabhuDas United States | 11 | 584 | 237 | 232 | 209 | 185 | 14 | 1.2k | ||
| Tony T. Jiang United States | 15 | 575 1.0× | 166 0.7× | 412 1.8× | 283 1.4× | 152 0.8× | 30 | 1.4k | ||
| Stella Liong Australia | 21 | 311 0.5× | 286 1.2× | 217 0.9× | 423 2.0× | 186 1.0× | 49 | 1.0k | ||
| Murat Aral Türkiye | 15 | 602 1.0× | 166 0.7× | 192 0.8× | 128 0.6× | 111 0.6× | 64 | 1.3k | ||
| Barbora Vlková Slovakia | 17 | 256 0.4× | 114 0.5× | 691 3.0× | 174 0.8× | 111 0.6× | 65 | 1.4k | ||
| Kalpana Subedi United States | 20 | 409 0.7× | 255 1.1× | 313 1.3× | 99 0.5× | 108 0.6× | 40 | 1.3k | ||
| Mikiya Fujieda Japan | 22 | 375 0.6× | 134 0.6× | 457 2.0× | 361 1.7× | 203 1.1× | 116 | 2.0k | ||
| Lynne Sykes United Kingdom | 16 | 423 0.7× | 343 1.4× | 144 0.6× | 471 2.3× | 376 2.0× | 39 | 1.2k | ||
| Weiguo Zhao China | 20 | 296 0.5× | 329 1.4× | 286 1.2× | 451 2.2× | 527 2.8× | 31 | 1.7k | ||
| Petya Koleva Canada | 21 | 345 0.6× | 70 0.3× | 560 2.4× | 185 0.9× | 135 0.7× | 42 | 1.3k | ||
| Melanie L. Conrad Germany | 19 | 452 0.8× | 81 0.3× | 275 1.2× | 99 0.5× | 59 0.3× | 45 | 1.1k |
Countries citing papers authored by Mercy PrabhuDas
This map shows the geographic impact of Mercy PrabhuDas'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 Mercy PrabhuDas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercy PrabhuDas more than expected).
Fields of papers citing papers by Mercy PrabhuDas
This network shows the impact of papers produced by Mercy PrabhuDas. 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 Mercy PrabhuDas. The network helps show where Mercy PrabhuDas may publish in the future.
Co-authorship network of co-authors of Mercy PrabhuDas
This figure shows the co-authorship network connecting the top 25 collaborators of Mercy PrabhuDas. A scholar is included among the top collaborators of Mercy PrabhuDas 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 Mercy PrabhuDas. Mercy PrabhuDas 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.