Tai‐Juan Aw
About
In The Last Decade
Tai‐Juan Aw
7 papers receiving 357 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tai‐Juan Aw Australia | 5 | 277 | 170 | 99 | 49 | 40 | 7 | 384 | ||
| Julien Rossat Switzerland | 6 | 201 0.7× | 143 0.8× | 99 1.0× | 80 1.6× | 17 0.4× | 7 | 372 | ||
| Peggy Wong United States | 10 | 283 1.0× | 108 0.6× | 65 0.7× | 18 0.4× | 20 0.5× | 21 | 415 | ||
| Qinfen Yu United States | 10 | 410 1.5× | 152 0.9× | 58 0.6× | 96 2.0× | 52 1.3× | 11 | 665 | ||
| Gabriele Merciaro Italy | 6 | 382 1.4× | 340 2.0× | 79 0.8× | 11 0.2× | 25 0.6× | 6 | 561 | ||
| Anne-Marie Schjerning Denmark | 10 | 95 0.3× | 243 1.4× | 16 0.2× | 27 0.6× | 35 0.9× | 17 | 504 | ||
| Vashu Thakur United States | 13 | 73 0.3× | 118 0.7× | 28 0.3× | 85 1.7× | 18 0.5× | 22 | 523 | ||
| Ram V. Patak United States | 10 | 242 0.9× | 106 0.6× | 161 1.6× | 84 1.7× | 9 0.2× | 14 | 601 | ||
| Rosamaria Tommasoli Italy | 8 | 86 0.3× | 165 1.0× | 117 1.2× | 34 0.7× | 9 0.2× | 9 | 448 | ||
| Ahmad A. Attallah United States | 13 | 188 0.7× | 56 0.3× | 111 1.1× | 47 1.0× | 9 0.2× | 26 | 386 | ||
| Helen Stead United Kingdom | 6 | 506 1.8× | 120 0.7× | 54 0.5× | 12 0.2× | 98 2.5× | 8 | 631 |
Countries citing papers authored by Tai‐Juan Aw
This map shows the geographic impact of Tai‐Juan Aw'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 Tai‐Juan Aw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Juan Aw more than expected).
Fields of papers citing papers by Tai‐Juan Aw
This network shows the impact of papers produced by Tai‐Juan Aw. 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 Tai‐Juan Aw. The network helps show where Tai‐Juan Aw may publish in the future.
Co-authorship network of co-authors of Tai‐Juan Aw
This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Juan Aw. A scholar is included among the top collaborators of Tai‐Juan Aw 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 Tai‐Juan Aw. Tai‐Juan Aw 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.