Naoki Motoi
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Masato KobayashiAtsuo KawamuraKouhei OhnishiTomoyuki ShimonoRyogo KuboTakaya SuzukiTomoaki NakamuraGiuseppe Guidi
- Topics
- Teleoperation and Haptic Systems (39 papers)Robot Manipulation and Learning (27 papers)Robotic Path Planning Algorithms (17 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAutomotive Engineering
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE AccessIEEE Transactions on Industry Applications
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Naoki Motoi
76 papers receiving 454 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 228
- Biomedical Engineering 159
- Mechanical Engineering 152
- Computer Vision and Pattern Recognition 121
- Electrical and Electronic Engineering 82
Countries citing papers authored by Naoki Motoi
This map shows the geographic impact of Naoki Motoi'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 Naoki Motoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Motoi more than expected).
Fields of papers citing papers by Naoki Motoi
This network shows the impact of papers produced by Naoki Motoi. 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 Naoki Motoi. The network helps show where Naoki Motoi may publish in the future.
Co-authorship network of co-authors of Naoki Motoi
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Motoi. A scholar is included among the top collaborators of Naoki Motoi 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 Naoki Motoi. Naoki Motoi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 63 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | A Scaling Effect of Visual Force in Haptic Bilateral Control System | 3 |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 1 |
About Naoki Motoi
Naoki Motoi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Automotive Engineering, having authored 83 papers that have together received 474 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (39 papers), Robot Manipulation and Learning (27 papers) and Robotic Path Planning Algorithms (17 papers). The work is most often cited by research in Control and Systems Engineering (228 citations), Computer Vision and Pattern Recognition (121 citations) and Automotive Engineering (71 citations). Naoki Motoi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masato Kobayashi, Atsuo Kawamura, Kouhei Ohnishi, Tomoyuki Shimono, Ryogo Kubo, Takaya Suzuki, Tomoaki Nakamura, Giuseppe Guidi, Yuki Watanabe and Tae‐Woong Kim. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industry Applications.
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.