Won‐Ill Cha
About
In The Last Decade
Won‐Ill Cha
10 papers receiving 562 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Won‐Ill Cha Japan | 9 | 244 | 221 | 175 | 162 | 54 | 10 | 581 | ||
| Lothar W. Kleiner United States | 13 | 271 1.1× | 198 0.9× | 141 0.8× | 262 1.6× | 61 1.1× | 21 | 741 | ||
| Elisabeth Payan France | 10 | 270 1.1× | 241 1.1× | 98 0.6× | 72 0.4× | 69 1.3× | 12 | 850 | ||
| Christian Willems Germany | 10 | 222 0.9× | 204 0.9× | 152 0.9× | 98 0.6× | 59 1.1× | 13 | 604 | ||
| Shoji Ohya Japan | 10 | 226 0.9× | 256 1.2× | 296 1.7× | 42 0.3× | 60 1.1× | 12 | 635 | ||
| Zhifang Wang China | 8 | 205 0.8× | 338 1.5× | 157 0.9× | 138 0.9× | 53 1.0× | 15 | 667 | ||
| Sang Hyeon Hong South Korea | 7 | 191 0.8× | 224 1.0× | 124 0.7× | 96 0.6× | 47 0.9× | 8 | 541 | ||
| Sébastien Ladet France | 2 | 273 1.1× | 222 1.0× | 217 1.2× | 42 0.3× | 26 0.5× | 2 | 538 | ||
| Dale J. Waters United States | 10 | 220 0.9× | 280 1.3× | 383 2.2× | 91 0.6× | 33 0.6× | 13 | 740 | ||
| Leonardo E. Millon Canada | 9 | 428 1.8× | 245 1.1× | 167 1.0× | 74 0.5× | 98 1.8× | 9 | 672 | ||
| Francis O. Obiweluozor South Korea | 11 | 255 1.0× | 226 1.0× | 143 0.8× | 55 0.3× | 112 2.1× | 19 | 520 |
Countries citing papers authored by Won‐Ill Cha
This map shows the geographic impact of Won‐Ill Cha'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 Won‐Ill Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Ill Cha more than expected).
Fields of papers citing papers by Won‐Ill Cha
This network shows the impact of papers produced by Won‐Ill Cha. 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 Won‐Ill Cha. The network helps show where Won‐Ill Cha may publish in the future.
Co-authorship network of co-authors of Won‐Ill Cha
This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Ill Cha. A scholar is included among the top collaborators of Won‐Ill Cha 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 Won‐Ill Cha. Won‐Ill Cha 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.