Tai‐Ju Hwang
About
In The Last Decade
Tai‐Ju Hwang
24 papers receiving 475 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‐Ju Hwang South Korea | 11 | 179 | 128 | 110 | 92 | 70 | 25 | 489 | ||
| Hema Kothari United States | 15 | 119 0.7× | 121 0.9× | 212 1.9× | 95 1.0× | 20 0.3× | 30 | 590 | ||
| Phillip Holland United States | 15 | 161 0.9× | 112 0.9× | 140 1.3× | 129 1.4× | 45 0.6× | 21 | 696 | ||
| S Yasuoka Japan | 9 | 69 0.4× | 85 0.7× | 72 0.7× | 68 0.7× | 37 0.5× | 24 | 371 | ||
| K. Ishimoto Japan | 17 | 132 0.7× | 115 0.9× | 71 0.6× | 49 0.5× | 97 1.4× | 31 | 525 | ||
| Kristof Van Avondt Netherlands | 9 | 173 1.0× | 300 2.3× | 41 0.4× | 74 0.8× | 27 0.4× | 12 | 536 | ||
| Marie L. Feser United States | 16 | 192 1.1× | 135 1.1× | 59 0.5× | 31 0.3× | 26 0.4× | 26 | 644 | ||
| Ryusuke Nabeshima Japan | 7 | 176 1.0× | 200 1.6× | 108 1.0× | 23 0.3× | 133 1.9× | 9 | 491 | ||
| Miriam Contatore Italy | 8 | 66 0.4× | 161 1.3× | 45 0.4× | 42 0.5× | 42 0.6× | 9 | 426 | ||
| Marc Langweiler United States | 8 | 91 0.5× | 103 0.8× | 93 0.8× | 22 0.2× | 28 0.4× | 15 | 379 | ||
| John C. Herion United States | 15 | 82 0.5× | 152 1.2× | 137 1.2× | 76 0.8× | 51 0.7× | 33 | 525 |
Countries citing papers authored by Tai‐Ju Hwang
This map shows the geographic impact of Tai‐Ju Hwang'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‐Ju Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Ju Hwang more than expected).
Fields of papers citing papers by Tai‐Ju Hwang
This network shows the impact of papers produced by Tai‐Ju Hwang. 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‐Ju Hwang. The network helps show where Tai‐Ju Hwang may publish in the future.
Co-authorship network of co-authors of Tai‐Ju Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Ju Hwang. A scholar is included among the top collaborators of Tai‐Ju Hwang 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‐Ju Hwang. Tai‐Ju Hwang 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.