Daichi Maeda
About
In The Last Decade
Daichi Maeda
84 papers receiving 2.4k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daichi Maeda Japan | 28 | 1.0k | 527 | 488 | 449 | 429 | 91 | 2.5k | ||
| Gian Luigi Taddei Italy | 26 | 595 0.6× | 220 0.4× | 359 0.7× | 488 1.1× | 347 0.8× | 136 | 2.3k | ||
| Maija Kiuru United States | 26 | 1.6k 1.6× | 225 0.4× | 96 0.2× | 629 1.4× | 218 0.5× | 90 | 3.1k | ||
| Pamela J. Farmer Australia | 18 | 477 0.5× | 231 0.4× | 137 0.3× | 233 0.5× | 90 0.2× | 41 | 2.0k | ||
| Mohammad Ghazizadeh Japan | 25 | 803 0.8× | 93 0.2× | 180 0.4× | 258 0.6× | 149 0.3× | 104 | 2.0k | ||
| Gloria A. Niehans United States | 24 | 841 0.8× | 101 0.2× | 117 0.2× | 720 1.6× | 97 0.2× | 45 | 2.1k | ||
| Francesca Megiorni Italy | 25 | 988 1.0× | 99 0.2× | 171 0.4× | 154 0.3× | 398 0.9× | 65 | 2.1k | ||
| Arno Dimmler Germany | 25 | 1.3k 1.3× | 65 0.1× | 119 0.2× | 1.2k 2.7× | 101 0.2× | 79 | 3.0k | ||
| Leroy M. Parker United States | 24 | 517 0.5× | 78 0.1× | 154 0.3× | 1.2k 2.7× | 113 0.3× | 39 | 2.6k | ||
| Qiwei Yang United States | 37 | 1.3k 1.3× | 31 0.1× | 872 1.8× | 302 0.7× | 91 0.2× | 117 | 3.1k | ||
| Walburgis Brenner Germany | 29 | 1.2k 1.2× | 82 0.2× | 72 0.1× | 615 1.4× | 67 0.2× | 112 | 2.3k |
Countries citing papers authored by Daichi Maeda
This map shows the geographic impact of Daichi Maeda'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 Daichi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichi Maeda more than expected).
Fields of papers citing papers by Daichi Maeda
This network shows the impact of papers produced by Daichi Maeda. 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 Daichi Maeda. The network helps show where Daichi Maeda may publish in the future.
Co-authorship network of co-authors of Daichi Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Maeda. A scholar is included among the top collaborators of Daichi Maeda 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 Daichi Maeda. Daichi Maeda 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.