Keiichi NAKAMOTO
- Mechanical Engineering top 10%
- Industrial and Manufacturing Engineering top 2%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Co-authors
- Yoshimi TAKEUCHIKeiichi SHIRASEToru IshidaToshimichi MORIWAKIYuki InoueAkira UenoEiji AraiToshio Moriya
- Topics
- Advanced machining processes and optimization (58 papers)Manufacturing Process and Optimization (57 papers)Advanced Surface Polishing Techniques (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry CMarine Ecology Progress Series
In The Last Decade
Keiichi NAKAMOTO
84 papers receiving 415 citations
Peers
Comparison fields: 5 of 56
- Mechanical Engineering 336
- Industrial and Manufacturing Engineering 259
- Biomedical Engineering 191
- Electrical and Electronic Engineering 105
- Computational Mechanics 83
Countries citing papers authored by Keiichi NAKAMOTO
This map shows the geographic impact of Keiichi NAKAMOTO'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 NAKAMOTO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi NAKAMOTO more than expected).
Fields of papers citing papers by Keiichi NAKAMOTO
This network shows the impact of papers produced by Keiichi NAKAMOTO. 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 NAKAMOTO. The network helps show where Keiichi NAKAMOTO may publish in the future.
Co-authorship network of co-authors of Keiichi NAKAMOTO
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi NAKAMOTO. A scholar is included among the top collaborators of Keiichi NAKAMOTO 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 NAKAMOTO. Keiichi NAKAMOTO is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Tool Path Generation for 5-axis Control Machining Based on Area Division Method | 1 |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 23 | |
| 20 | 4 |
About Keiichi NAKAMOTO
Keiichi NAKAMOTO is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computational Mechanics, having authored 106 papers that have together received 552 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (58 papers), Manufacturing Process and Optimization (57 papers) and Advanced Surface Polishing Techniques (30 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (259 citations), Mechanical Engineering (336 citations) and Biomedical Engineering (191 citations). Keiichi NAKAMOTO has collaborated with scholars based in Japan and Germany. Frequent co-authors include Yoshimi TAKEUCHI, Keiichi SHIRASE, Toru Ishida, Toshimichi MORIWAKI, Yuki Inoue, Akira Ueno, Eiji Arai, Toshio Moriya, Wataru Komatsu and Hidefumi Wakamatsu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry C and Marine Ecology Progress Series.
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.