Nai‐Wen Guo
About
In The Last Decade
Nai‐Wen Guo
40 papers receiving 867 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nai‐Wen Guo Taiwan | 15 | 368 | 151 | 146 | 112 | 99 | 43 | 905 | ||
| Holly A. Mack Australia | 16 | 418 1.1× | 51 0.3× | 70 0.5× | 237 2.1× | 101 1.0× | 30 | 1.1k | ||
| Rosann Costa United States | 10 | 468 1.3× | 78 0.5× | 46 0.3× | 272 2.4× | 66 0.7× | 14 | 1.0k | ||
| Bernard Ledésert France | 20 | 362 1.0× | 30 0.2× | 208 1.4× | 134 1.2× | 127 1.3× | 50 | 1.1k | ||
| Roberto Quartesan Italy | 23 | 482 1.3× | 61 0.4× | 42 0.3× | 79 0.7× | 112 1.1× | 57 | 1.2k | ||
| Toru Hosokawa Japan | 17 | 238 0.6× | 210 1.4× | 89 0.6× | 80 0.7× | 157 1.6× | 54 | 1.2k | ||
| Derek Norton United States | 16 | 298 0.8× | 85 0.6× | 27 0.2× | 169 1.5× | 117 1.2× | 38 | 724 | ||
| Amber L. Bahorik United States | 21 | 466 1.3× | 35 0.2× | 85 0.6× | 92 0.8× | 230 2.3× | 55 | 1.3k | ||
| Laurel A. Smith United States | 8 | 423 1.1× | 54 0.4× | 35 0.2× | 191 1.7× | 83 0.8× | 13 | 1.0k | ||
| W. J. MacLennan United Kingdom | 22 | 261 0.7× | 43 0.3× | 78 0.5× | 236 2.1× | 47 0.5× | 84 | 1.4k | ||
| Anna K. Dahl Aslan Sweden | 18 | 245 0.7× | 51 0.3× | 54 0.4× | 374 3.3× | 90 0.9× | 45 | 957 |
Countries citing papers authored by Nai‐Wen Guo
This map shows the geographic impact of Nai‐Wen Guo'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 Nai‐Wen Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nai‐Wen Guo more than expected).
Fields of papers citing papers by Nai‐Wen Guo
This network shows the impact of papers produced by Nai‐Wen Guo. 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 Nai‐Wen Guo. The network helps show where Nai‐Wen Guo may publish in the future.
Co-authorship network of co-authors of Nai‐Wen Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Nai‐Wen Guo. A scholar is included among the top collaborators of Nai‐Wen Guo 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 Nai‐Wen Guo. Nai‐Wen Guo 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.