Meiou Dai
About
In The Last Decade
Meiou Dai
20 papers receiving 698 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Meiou Dai Canada | 15 | 470 | 300 | 161 | 92 | 76 | 21 | 703 | ||
| Peter Sicinski United States | 9 | 457 1.0× | 262 0.9× | 112 0.7× | 89 1.0× | 113 1.5× | 9 | 680 | ||
| Kyoung Eun Baek South Korea | 13 | 432 0.9× | 218 0.7× | 109 0.7× | 69 0.8× | 75 1.0× | 18 | 633 | ||
| Virginie Maire France | 9 | 401 0.9× | 247 0.8× | 165 1.0× | 138 1.5× | 38 0.5× | 17 | 697 | ||
| Huijie Yang China | 15 | 501 1.1× | 207 0.7× | 155 1.0× | 94 1.0× | 111 1.5× | 40 | 711 | ||
| Özge Saatci United States | 18 | 461 1.0× | 230 0.8× | 295 1.8× | 107 1.2× | 67 0.9× | 29 | 749 | ||
| Haizeng Zhang China | 12 | 316 0.7× | 266 0.9× | 152 0.9× | 128 1.4× | 79 1.0× | 42 | 752 | ||
| Chuanwen Fan China | 16 | 299 0.6× | 287 1.0× | 150 0.9× | 98 1.1× | 31 0.4× | 45 | 682 | ||
| Cynthia López‐Haber United States | 15 | 605 1.3× | 207 0.7× | 100 0.6× | 65 0.7× | 171 2.3× | 19 | 824 | ||
| Minna Luo China | 12 | 465 1.0× | 314 1.0× | 233 1.4× | 67 0.7× | 39 0.5× | 28 | 723 | ||
| Mary Jo Pilat United States | 12 | 407 0.9× | 230 0.8× | 143 0.9× | 68 0.7× | 50 0.7× | 25 | 669 |
Countries citing papers authored by Meiou Dai
This map shows the geographic impact of Meiou Dai'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 Meiou Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiou Dai more than expected).
Fields of papers citing papers by Meiou Dai
This network shows the impact of papers produced by Meiou Dai. 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 Meiou Dai. The network helps show where Meiou Dai may publish in the future.
Co-authorship network of co-authors of Meiou Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Meiou Dai. A scholar is included among the top collaborators of Meiou Dai 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 Meiou Dai. Meiou Dai 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.