Keiichi Niimura
About
In The Last Decade
Keiichi Niimura
11 papers receiving 514 citations
Peers
Comparison fields: 5 of 25
- Fluid Flow and Transfer Processes 510
- Computational Mechanics 367
- Biomedical Engineering 256
- Automotive Engineering 232
- Materials Chemistry 121
Countries citing papers authored by Keiichi Niimura
This map shows the geographic impact of Keiichi Niimura'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 Keiichi Niimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Niimura more than expected).
Fields of papers citing papers by Keiichi Niimura
This network shows the impact of papers produced by Keiichi Niimura. 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 Keiichi Niimura. The network helps show where Keiichi Niimura may publish in the future.
Co-authorship network of co-authors of Keiichi Niimura
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Niimura. A scholar is included among the top collaborators of Keiichi Niimura 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 Keiichi Niimura. Keiichi Niimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 298 | |
| 3 | 19 | |
| 4 | 31 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 15 | |
| 8 | 30 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 13 |
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.