Eimei Oyama
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Biomedical Engineering
- Co-authors
- K. KomoriyaSusumu TachiArvin AgahTakao MaedaJohn Q. GanNak Young ChongHuosheng HuKarl F. MacDorman
- Topics
- Motor Control and Adaptation (9 papers)Robot Manipulation and Learning (9 papers)Teleoperation and Haptic Systems (9 papers)
- Cited by
- Human-Computer InteractionControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingNeurocomputing
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Eimei Oyama
39 papers receiving 478 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 290
- Computer Vision and Pattern Recognition 188
- Aerospace Engineering 121
- Mechanical Engineering 120
- Biomedical Engineering 107
Countries citing papers authored by Eimei Oyama
This map shows the geographic impact of Eimei Oyama'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 Eimei Oyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eimei Oyama more than expected).
Fields of papers citing papers by Eimei Oyama
This network shows the impact of papers produced by Eimei Oyama. 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 Eimei Oyama. The network helps show where Eimei Oyama may publish in the future.
Co-authorship network of co-authors of Eimei Oyama
This figure shows the co-authorship network connecting the top 25 collaborators of Eimei Oyama. A scholar is included among the top collaborators of Eimei Oyama 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 Eimei Oyama. Eimei Oyama 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 | 5 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 63 | |
| 7 | 37 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 75 | |
| 11 | 37 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | Coordinate Transformation Learning of Hand Position Feedback Controller by Using Change of Position Error Norm | 7 |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 36 | |
| 19 | 25 | |
| 20 | 8 |
About Eimei Oyama
Eimei Oyama is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 533 indexed citations. Recurring topics across this work include Motor Control and Adaptation (9 papers), Robot Manipulation and Learning (9 papers) and Teleoperation and Haptic Systems (9 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Control and Systems Engineering (290 citations) and Computer Vision and Pattern Recognition (188 citations). Eimei Oyama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include K. Komoriya, Susumu Tachi, Arvin Agah, Takao Maeda, John Q. Gan, Nak Young Chong, Huosheng Hu, Karl F. MacDorman, Naoji Shiroma and Yasuyuki Inoue. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Neurocomputing.
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.