Ke Fa
About
In The Last Decade
Ke Fa
10 papers receiving 319 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ke Fa United Kingdom | 8 | 207 | 193 | 102 | 44 | 24 | 10 | 321 | ||
| Gayan Heruka De Zoysa New Zealand | 10 | 190 0.9× | 202 1.0× | 133 1.3× | 36 0.8× | 16 0.7× | 17 | 356 | ||
| Josephine Gaynord United Kingdom | 5 | 268 1.3× | 291 1.5× | 103 1.0× | 25 0.6× | 36 1.5× | 5 | 425 | ||
| Josefine Eilsø Nielsen Norway | 13 | 264 1.3× | 327 1.7× | 111 1.1× | 64 1.5× | 27 1.1× | 26 | 496 | ||
| Michaela Stach Switzerland | 8 | 231 1.1× | 256 1.3× | 153 1.5× | 21 0.5× | 12 0.5× | 8 | 413 | ||
| Nada Matougui France | 8 | 165 0.8× | 247 1.3× | 79 0.8× | 49 1.1× | 88 3.7× | 8 | 415 | ||
| Tomáš Deingruber United Kingdom | 3 | 260 1.3× | 226 1.2× | 66 0.6× | 21 0.5× | 37 1.5× | 6 | 358 | ||
| Humaira Ilyas India | 9 | 179 0.9× | 199 1.0× | 50 0.5× | 25 0.6× | 24 1.0× | 13 | 339 | ||
| Alekhya Nimmagadda United States | 13 | 307 1.5× | 313 1.6× | 322 3.2× | 33 0.8× | 12 0.5× | 18 | 556 | ||
| Fernando G. Dupuy Argentina | 13 | 113 0.5× | 299 1.5× | 74 0.7× | 19 0.4× | 61 2.5× | 26 | 419 |
Countries citing papers authored by Ke Fa
This map shows the geographic impact of Ke Fa'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 Ke Fa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Fa more than expected).
Fields of papers citing papers by Ke Fa
This network shows the impact of papers produced by Ke Fa. 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 Ke Fa. The network helps show where Ke Fa may publish in the future.
Co-authorship network of co-authors of Ke Fa
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Fa. A scholar is included among the top collaborators of Ke Fa 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 Ke Fa. Ke Fa 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.