T. Takamori
- Biomedical Engineering top 5%
- Control and Systems Engineering top 5%
- Mechanical Engineering top 10%
- Materials Chemistry
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Satoshı TadokoroKeisuke OguroMasashi HattoriMasashi KonyoM. HillerRichard VerhoevenIchirô KIMURASaeed Shiry Ghidary
- Topics
- Advanced Sensor and Energy Harvesting Materials (19 papers)Dielectric materials and actuators (14 papers)Robotic Path Planning Algorithms (13 papers)
In The Last Decade
T. Takamori
83 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 670
- Control and Systems Engineering 349
- Mechanical Engineering 251
- Materials Chemistry 199
- Computer Vision and Pattern Recognition 198
Countries citing papers authored by T. Takamori
This map shows the geographic impact of T. Takamori'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 T. Takamori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Takamori more than expected).
Fields of papers citing papers by T. Takamori
This network shows the impact of papers produced by T. Takamori. 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 T. Takamori. The network helps show where T. Takamori may publish in the future.
Co-authorship network of co-authors of T. Takamori
This figure shows the co-authorship network connecting the top 25 collaborators of T. Takamori. A scholar is included among the top collaborators of T. Takamori 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 T. Takamori. T. Takamori 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 | Crawler type Rescue Robot Utility Mobile Robot for Search | 1 |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 0 | |
| 20 | Study on Power Transmission Characteristics of Parallel Capillaries:Analysis and Design of Basic Transmission Circuit | 0 |
About T. Takamori
T. Takamori is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (19 papers), Dielectric materials and actuators (14 papers) and Robotic Path Planning Algorithms (13 papers). The work is most often cited by research in Biomedical Engineering (670 citations), Control and Systems Engineering (349 citations) and Human-Computer Interaction (81 citations). T. Takamori has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Satoshı Tadokoro, Keisuke Oguro, Masashi Hattori, Masashi Konyo, M. Hiller, Richard Verhoeven, Ichirô KIMURA, Saeed Shiry Ghidary, Koichi Osuka and Tetsuya Kimura. Their work appears in journals such as Experiments in Fluids, Nonlinear Analysis and IEEE Control Systems.
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.