Wai-Mo Suen
About
In The Last Decade
Wai-Mo Suen
66 papers receiving 2.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wai-Mo Suen United States | 28 | 2.2k | 1.5k | 469 | 277 | 137 | 70 | 2.6k | ||
| Ira Z. Rothstein United States | 39 | 2.7k 1.2× | 4.6k 3.1× | 407 0.9× | 294 1.1× | 197 1.4× | 107 | 5.5k | ||
| Jeffrey Winicour United States | 34 | 2.9k 1.3× | 2.3k 1.5× | 120 0.3× | 389 1.4× | 78 0.6× | 112 | 3.2k | ||
| George Chapline United States | 20 | 1.1k 0.5× | 1.4k 0.9× | 378 0.8× | 392 1.4× | 93 0.7× | 107 | 2.1k | ||
| Katsuhiko Sato Japan | 34 | 2.3k 1.1× | 2.3k 1.6× | 262 0.6× | 136 0.5× | 208 1.5× | 113 | 3.1k | ||
| J. M. Weisberg United States | 27 | 2.9k 1.3× | 837 0.6× | 386 0.8× | 96 0.3× | 385 2.8× | 77 | 3.1k | ||
| Will M. Farr United States | 37 | 4.4k 2.0× | 946 0.6× | 175 0.4× | 110 0.4× | 308 2.2× | 93 | 4.7k | ||
| I. W. Roxburgh United Kingdom | 23 | 2.0k 0.9× | 413 0.3× | 99 0.2× | 311 1.1× | 54 0.4× | 130 | 2.2k | ||
| R. F. Sawyer United States | 23 | 1.2k 0.5× | 1.7k 1.1× | 588 1.3× | 122 0.4× | 190 1.4× | 82 | 2.5k | ||
| Kenneth Nordtvedt United States | 23 | 2.3k 1.0× | 960 0.6× | 340 0.7× | 314 1.1× | 21 0.2× | 85 | 2.6k | ||
| G. Stephenson United Kingdom | 14 | 992 0.5× | 748 0.5× | 624 1.3× | 364 1.3× | 28 0.2× | 53 | 1.5k |
Countries citing papers authored by Wai-Mo Suen
This map shows the geographic impact of Wai-Mo Suen'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 Wai-Mo Suen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai-Mo Suen more than expected).
Fields of papers citing papers by Wai-Mo Suen
This network shows the impact of papers produced by Wai-Mo Suen. 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 Wai-Mo Suen. The network helps show where Wai-Mo Suen may publish in the future.
Co-authorship network of co-authors of Wai-Mo Suen
This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Mo Suen. A scholar is included among the top collaborators of Wai-Mo Suen 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 Wai-Mo Suen. Wai-Mo Suen 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.