Peiyong Guan
About
In The Last Decade
Peiyong Guan
24 papers receiving 893 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Peiyong Guan Singapore | 13 | 560 | 308 | 167 | 130 | 104 | 26 | 897 | ||
| Fernando Pardal Portugal | 16 | 404 0.7× | 211 0.7× | 236 1.4× | 136 1.0× | 123 1.2× | 26 | 829 | ||
| Alba Rodríguez-Meira United Kingdom | 11 | 549 1.0× | 341 1.1× | 155 0.9× | 87 0.7× | 47 0.5× | 14 | 874 | ||
| Ahmad Miremadi United Kingdom | 10 | 426 0.8× | 276 0.9× | 322 1.9× | 60 0.5× | 150 1.4× | 21 | 887 | ||
| Kurt D’Andrea United States | 14 | 452 0.8× | 235 0.8× | 238 1.4× | 87 0.7× | 82 0.8× | 23 | 872 | ||
| Tarek M.A. Abdel-Fatah United Kingdom | 19 | 767 1.4× | 350 1.1× | 549 3.3× | 227 1.7× | 98 0.9× | 34 | 1.1k | ||
| Patricia Keith Australia | 11 | 270 0.5× | 139 0.5× | 134 0.8× | 84 0.6× | 72 0.7× | 15 | 568 | ||
| Keisuke Kurose Japan | 14 | 634 1.1× | 310 1.0× | 312 1.9× | 191 1.5× | 127 1.2× | 30 | 1.0k | ||
| Narinder Tamber United Kingdom | 13 | 533 1.0× | 456 1.5× | 459 2.7× | 197 1.5× | 120 1.2× | 13 | 1.1k | ||
| John D. Miedler United States | 12 | 337 0.6× | 123 0.4× | 259 1.6× | 74 0.6× | 90 0.9× | 18 | 625 | ||
| Samira Majjaj Belgium | 12 | 498 0.9× | 449 1.5× | 321 1.9× | 103 0.8× | 145 1.4× | 24 | 902 |
Countries citing papers authored by Peiyong Guan
This map shows the geographic impact of Peiyong Guan'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 Peiyong Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyong Guan more than expected).
Fields of papers citing papers by Peiyong Guan
This network shows the impact of papers produced by Peiyong Guan. 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 Peiyong Guan. The network helps show where Peiyong Guan may publish in the future.
Co-authorship network of co-authors of Peiyong Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Peiyong Guan. A scholar is included among the top collaborators of Peiyong Guan 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 Peiyong Guan. Peiyong Guan 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.