Dai Inoue
About
In The Last Decade
Dai Inoue
106 papers receiving 3.6k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dai Inoue Japan | 30 | 2.5k | 2.0k | 2.0k | 541 | 485 | 112 | 3.7k | ||
| Michael J. Levy United States | 38 | 1.7k 0.7× | 4.1k 2.1× | 1.8k 0.9× | 336 0.6× | 304 0.6× | 138 | 5.8k | ||
| Hiroyuki Irié Japan | 34 | 567 0.2× | 1.8k 0.9× | 972 0.5× | 143 0.3× | 911 1.9× | 177 | 3.9k | ||
| Krishna Shanbhogue United States | 33 | 396 0.2× | 1.1k 0.5× | 443 0.2× | 270 0.5× | 500 1.0× | 104 | 3.0k | ||
| Korosh Khalili Canada | 28 | 339 0.1× | 771 0.4× | 915 0.5× | 245 0.5× | 902 1.9× | 96 | 2.4k | ||
| Kumaresan Sandrasegaran United States | 39 | 302 0.1× | 2.2k 1.1× | 874 0.4× | 147 0.3× | 542 1.1× | 120 | 4.2k | ||
| Nisha I. Sainani United States | 22 | 452 0.2× | 1.0k 0.5× | 498 0.3× | 119 0.2× | 255 0.5× | 47 | 1.8k | ||
| Jae Ho Byun South Korea | 37 | 412 0.2× | 1.7k 0.8× | 2.1k 1.1× | 130 0.2× | 1.8k 3.7× | 175 | 4.7k | ||
| Tetsuya Minami Japan | 24 | 329 0.1× | 838 0.4× | 1000 0.5× | 118 0.2× | 1.3k 2.8× | 61 | 2.2k | ||
| Sung Eun Rha South Korea | 30 | 263 0.1× | 1.3k 0.7× | 515 0.3× | 112 0.2× | 484 1.0× | 105 | 3.2k | ||
| Marie‐Pierre Vullierme France | 46 | 288 0.1× | 2.8k 1.4× | 3.1k 1.6× | 247 0.5× | 962 2.0× | 150 | 6.3k |
Countries citing papers authored by Dai Inoue
This map shows the geographic impact of Dai Inoue'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 Dai Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Inoue more than expected).
Fields of papers citing papers by Dai Inoue
This network shows the impact of papers produced by Dai Inoue. 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 Dai Inoue. The network helps show where Dai Inoue may publish in the future.
Co-authorship network of co-authors of Dai Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Dai Inoue. A scholar is included among the top collaborators of Dai Inoue 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 Dai Inoue. Dai Inoue 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.