Toshio Fukuda
- Control and Systems Engineering top 0.05%
- Robot Manipulation and Learning 222
- Biomedical Engineering top 0.05%
- Robotic Locomotion and Control 167
- Soft Robotics and Applications 161
- Microfluidic and Bio-sensing Technologies 160
- 3D Printing in Biomedical Research 123
- Condensed Matter Physics top 0.5%
- Micro and Nano Robotics 120
- Mechanical Engineering top 0.1%
- Modular Robots and Swarm Intelligence 233
- Structural Biology top 1%
-
- Robotic Path Planning Algorithms 120
- Co-authors
- Fumihito AraiYasuhisa HasegawaQiang HuangKazuo KiguchiKosuke SekiyamaTakanori ShibataJian HuangMasahiro Nakajima
- Journals
- Nature Communications (4 papers)SHILAP Revista de lepidopterología (3 papers)Blood (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Toshio Fukuda
1.6k papers receiving 21.6k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Control and Systems Engineering 6.2k
- Biomedical Engineering 10.8k
- Condensed Matter Physics 2.4k
- Mechanical Engineering 5.3k
- Structural Biology 194
Countries citing papers authored by Toshio Fukuda
This map shows the geographic impact of Toshio Fukuda'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 Toshio Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Fukuda more than expected).
Fields of papers citing papers by Toshio Fukuda
This network shows the impact of papers produced by Toshio Fukuda. 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 Toshio Fukuda. The network helps show where Toshio Fukuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshio Fukuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | 2023 | 68 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2011 | 0 | |
| 14 | 2008 | 22 | |
| 15 | 2008 | 2 | |
| 16 | 2004 | 1 | |
| 17 | 2003 | 1 | |
| 18 | 2003 | 7 | |
| 19 | 1996 | 8 | |
| 20 | 1996 | 1 |
About Toshio Fukuda
Toshio Fukuda is a scholar working on Control and Systems Engineering, Biomedical Engineering and Structural Biology, having authored 1.8k papers that have together received 22.9k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (233 papers), Robot Manipulation and Learning (222 papers), Robotic Locomotion and Control (167 papers), Soft Robotics and Applications (161 papers), Microfluidic and Bio-sensing Technologies (160 papers), 3D Printing in Biomedical Research (123 papers), Robotic Path Planning Algorithms (120 papers) and Micro and Nano Robotics (120 papers). The work is most often cited by research in Control and Systems Engineering (6.2k citations), Biomedical Engineering (10.8k citations) and Condensed Matter Physics (2.4k citations). Toshio Fukuda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Fumihito Arai, Yasuhisa Hasegawa, Qiang Huang, Kazuo Kiguchi, Kosuke Sekiyama, Takanori Shibata, Jian Huang, Masahiro Nakajima, Lixin Dong and Shuxiang Guo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.