Dah-You Maa
About
In The Last Decade
Dah-You Maa
11 papers receiving 1.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dah-You Maa China | 7 | 1.7k | 784 | 682 | 442 | 339 | 12 | 1.8k | ||
| Kimihiro Sakagami Japan | 23 | 1.6k 0.9× | 823 1.0× | 342 0.5× | 406 0.9× | 358 1.1× | 126 | 1.8k | ||
| E.N. Bazley United Kingdom | 7 | 1.3k 0.8× | 558 0.7× | 526 0.8× | 361 0.8× | 247 0.7× | 10 | 1.5k | ||
| David A. Bies Australia | 17 | 928 0.5× | 207 0.3× | 441 0.6× | 254 0.6× | 184 0.5× | 56 | 1.3k | ||
| Raymond Panneton Canada | 26 | 2.2k 1.3× | 589 0.8× | 628 0.9× | 347 0.8× | 470 1.4× | 111 | 2.5k | ||
| Yeon June Kang South Korea | 21 | 1.2k 0.7× | 304 0.4× | 190 0.3× | 300 0.7× | 203 0.6× | 97 | 1.7k | ||
| Bilong Liu China | 18 | 743 0.4× | 210 0.3× | 272 0.4× | 191 0.4× | 168 0.5× | 83 | 1.0k | ||
| Olivier Dazel France | 21 | 1.1k 0.7× | 367 0.5× | 355 0.5× | 97 0.2× | 213 0.6× | 64 | 1.2k | ||
| Cédric Maury France | 18 | 770 0.5× | 169 0.2× | 490 0.7× | 158 0.4× | 286 0.8× | 65 | 901 | ||
| Zhenbo Lu Singapore | 20 | 908 0.5× | 315 0.4× | 435 0.6× | 113 0.3× | 86 0.3× | 66 | 1.2k | ||
| Yong Xiao China | 25 | 3.0k 1.8× | 952 1.2× | 682 1.0× | 322 0.7× | 93 0.3× | 56 | 3.1k |
Countries citing papers authored by Dah-You Maa
This map shows the geographic impact of Dah-You Maa'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 Dah-You Maa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dah-You Maa more than expected).
Fields of papers citing papers by Dah-You Maa
This network shows the impact of papers produced by Dah-You Maa. 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 Dah-You Maa. The network helps show where Dah-You Maa may publish in the future.
Co-authorship network of co-authors of Dah-You Maa
This figure shows the co-authorship network connecting the top 25 collaborators of Dah-You Maa. A scholar is included among the top collaborators of Dah-You Maa 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 Dah-You Maa. Dah-You Maa 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.