Michio Nakano
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computational Mechanics
- Co-authors
- Shinji HaraJinhua SheTadashi InoueMin WuShin-ichi IwaiGuan‐Chyun HsiehYoshiki MatsuoT. Kubo
- Topics
- Iterative Learning Control Systems (16 papers)Advanced Control Systems Optimization (6 papers)Fault Detection and Control Systems (5 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsExpert Systems with ApplicationsJapanese Journal of Applied Physics
- Partner nations
- JapanChinaUnited States
In The Last Decade
Michio Nakano
35 papers receiving 479 citations
Peers
Comparison fields: 5 of 58
- Control and Systems Engineering 421
- Mechanical Engineering 167
- Electrical and Electronic Engineering 80
- Biomedical Engineering 48
- Computational Mechanics 41
Countries citing papers authored by Michio Nakano
This map shows the geographic impact of Michio Nakano'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 Michio Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michio Nakano more than expected).
Fields of papers citing papers by Michio Nakano
This network shows the impact of papers produced by Michio Nakano. 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 Michio Nakano. The network helps show where Michio Nakano may publish in the future.
Co-authorship network of co-authors of Michio Nakano
This figure shows the co-authorship network connecting the top 25 collaborators of Michio Nakano. A scholar is included among the top collaborators of Michio Nakano 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 Michio Nakano. Michio Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Rejection of Non-periodic Disturbances in Repetitive Control Systems | 4 |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Finite Time Settling Compensation of Control System Using Non-linear Element. | 0 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 29 | |
| 16 | 25 | |
| 17 | 32 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 2 |
About Michio Nakano
Michio Nakano is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 38 papers that have together received 513 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (16 papers), Advanced Control Systems Optimization (6 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (421 citations), Mechanical Engineering (167 citations) and Fuel Technology (2 citations). Michio Nakano has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Shinji Hara, Jinhua She, Tadashi Inoue, Min Wu, Shin-ichi Iwai, Guan‐Chyun Hsieh, Min Wu, Yoshiki Matsuo, T. Kubo and Weihua Gui. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Japanese Journal of Applied Physics.
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.