Su‐Vui Lo
About
In The Last Decade
Su‐Vui Lo
24 papers receiving 2.0k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Su‐Vui Lo Hong Kong | 16 | 1.1k | 834 | 700 | 314 | 216 | 24 | 2.1k | ||
| Marco Massari Italy | 21 | 1.5k 1.4× | 1.6k 1.9× | 823 1.2× | 348 1.1× | 306 1.4× | 43 | 3.2k | ||
| Suok Kai Chew Singapore | 27 | 864 0.8× | 1.0k 1.2× | 945 1.4× | 725 2.3× | 190 0.9× | 36 | 3.3k | ||
| Oliver Morgan United States | 28 | 536 0.5× | 781 0.9× | 1.4k 2.0× | 313 1.0× | 124 0.6× | 70 | 3.4k | ||
| Zhihang Peng China | 25 | 596 0.6× | 622 0.7× | 788 1.1× | 347 1.1× | 226 1.0× | 143 | 2.0k | ||
| Abhishek Pandey United States | 22 | 1.1k 1.0× | 396 0.5× | 1.0k 1.5× | 360 1.1× | 322 1.5× | 62 | 2.3k | ||
| Lander Willem Belgium | 24 | 800 0.8× | 654 0.8× | 376 0.5× | 176 0.6× | 211 1.0× | 73 | 1.7k | ||
| Tim K. Tsang Hong Kong | 21 | 1.4k 1.3× | 1.1k 1.3× | 1.1k 1.6× | 182 0.6× | 361 1.7× | 87 | 2.9k | ||
| Ruian Ke United States | 21 | 815 0.8× | 393 0.5× | 1.2k 1.7× | 204 0.6× | 218 1.0× | 55 | 2.3k | ||
| Nahoko Shindo Switzerland | 16 | 472 0.4× | 1.4k 1.7× | 1.5k 2.1× | 219 0.7× | 143 0.7× | 29 | 3.3k | ||
| Rosalind M. Eggo United Kingdom | 26 | 1.6k 1.5× | 766 0.9× | 1.5k 2.1× | 577 1.8× | 400 1.9× | 83 | 3.2k |
Countries citing papers authored by Su‐Vui Lo
This map shows the geographic impact of Su‐Vui Lo'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 Su‐Vui Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Vui Lo more than expected).
Fields of papers citing papers by Su‐Vui Lo
This network shows the impact of papers produced by Su‐Vui Lo. 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 Su‐Vui Lo. The network helps show where Su‐Vui Lo may publish in the future.
Co-authorship network of co-authors of Su‐Vui Lo
This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Vui Lo. A scholar is included among the top collaborators of Su‐Vui Lo 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 Su‐Vui Lo. Su‐Vui Lo 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.