Eng Toon Saw
About
In The Last Decade
Eng Toon Saw
10 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Eng Toon Saw Singapore | 10 | 1.2k | 1.1k | 326 | 204 | 174 | 10 | 1.5k | ||
| Waleeporn Donphai Thailand | 19 | 986 0.8× | 817 0.7× | 254 0.8× | 355 1.7× | 168 1.0× | 49 | 1.4k | ||
| Saeed Alshihri Saudi Arabia | 11 | 742 0.6× | 414 0.4× | 226 0.7× | 310 1.5× | 228 1.3× | 15 | 1.3k | ||
| Matthias S. Frei Switzerland | 10 | 924 0.8× | 1.0k 0.9× | 212 0.7× | 470 2.3× | 112 0.6× | 14 | 1.4k | ||
| Naohiro Shimoda Japan | 19 | 1.0k 0.9× | 857 0.7× | 364 1.1× | 225 1.1× | 161 0.9× | 48 | 1.3k | ||
| Ming Li Ang Singapore | 18 | 1.2k 1.0× | 1.2k 1.1× | 546 1.7× | 187 0.9× | 378 2.2× | 19 | 1.6k | ||
| Rawesh Kumar India | 25 | 1.4k 1.2× | 1.2k 1.0× | 259 0.8× | 120 0.6× | 244 1.4× | 85 | 1.7k | ||
| Tan Ji Siang Malaysia | 25 | 1.3k 1.1× | 1.2k 1.0× | 286 0.9× | 239 1.2× | 182 1.0× | 56 | 1.6k | ||
| Yolanda A. Daza United States | 9 | 757 0.6× | 698 0.6× | 264 0.8× | 277 1.4× | 410 2.4× | 10 | 1.1k | ||
| M.Y.S. Hamid Malaysia | 20 | 1.4k 1.2× | 1.3k 1.1× | 378 1.2× | 243 1.2× | 188 1.1× | 40 | 1.7k | ||
| Yizhuo Han China | 25 | 1.5k 1.3× | 1.6k 1.4× | 496 1.5× | 260 1.3× | 368 2.1× | 96 | 2.2k |
Countries citing papers authored by Eng Toon Saw
This map shows the geographic impact of Eng Toon Saw'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 Eng Toon Saw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eng Toon Saw more than expected).
Fields of papers citing papers by Eng Toon Saw
This network shows the impact of papers produced by Eng Toon Saw. 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 Eng Toon Saw. The network helps show where Eng Toon Saw may publish in the future.
Co-authorship network of co-authors of Eng Toon Saw
This figure shows the co-authorship network connecting the top 25 collaborators of Eng Toon Saw. A scholar is included among the top collaborators of Eng Toon Saw 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 Eng Toon Saw. Eng Toon Saw 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.