Shih–Fan Kuan
About
In The Last Decade
Shih–Fan Kuan
46 papers receiving 2.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shih–Fan Kuan United States | 24 | 800 | 672 | 529 | 391 | 312 | 46 | 2.1k | ||
| Cynthia L. David United States | 24 | 468 0.6× | 674 1.0× | 394 0.7× | 583 1.5× | 118 0.4× | 55 | 2.1k | ||
| Iman El‐Hariry United Kingdom | 22 | 966 1.2× | 865 1.3× | 739 1.4× | 661 1.7× | 158 0.5× | 56 | 2.5k | ||
| Isao Tachibana Japan | 29 | 1.0k 1.3× | 708 1.1× | 787 1.5× | 168 0.4× | 528 1.7× | 91 | 2.7k | ||
| Scott R. Owens United States | 21 | 803 1.0× | 641 1.0× | 248 0.5× | 401 1.0× | 391 1.3× | 68 | 1.9k | ||
| Suresh H. Advani India | 25 | 578 0.7× | 1.1k 1.6× | 460 0.9× | 309 0.8× | 415 1.3× | 250 | 3.0k | ||
| Javier Gómez‐Román Spain | 27 | 899 1.1× | 937 1.4× | 1.1k 2.0× | 582 1.5× | 255 0.8× | 140 | 2.9k | ||
| Dhirendra Govender South Africa | 23 | 680 0.8× | 506 0.8× | 347 0.7× | 388 1.0× | 149 0.5× | 88 | 1.7k | ||
| Masayuki Matsumura Japan | 20 | 569 0.7× | 610 0.9× | 392 0.7× | 425 1.1× | 169 0.5× | 37 | 1.6k | ||
| Giulia Maria Stella Italy | 23 | 564 0.7× | 540 0.8× | 784 1.5× | 173 0.4× | 317 1.0× | 111 | 2.1k | ||
| Yi‐Chen Yeh Taiwan | 30 | 664 0.8× | 903 1.3× | 1.5k 2.8× | 411 1.1× | 326 1.0× | 162 | 2.9k |
Countries citing papers authored by Shih–Fan Kuan
This map shows the geographic impact of Shih–Fan Kuan'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 Shih–Fan Kuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih–Fan Kuan more than expected).
Fields of papers citing papers by Shih–Fan Kuan
This network shows the impact of papers produced by Shih–Fan Kuan. 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 Shih–Fan Kuan. The network helps show where Shih–Fan Kuan may publish in the future.
Co-authorship network of co-authors of Shih–Fan Kuan
This figure shows the co-authorship network connecting the top 25 collaborators of Shih–Fan Kuan. A scholar is included among the top collaborators of Shih–Fan Kuan 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 Shih–Fan Kuan. Shih–Fan Kuan 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.