Yoshihiro Nakabo
- Media Technology top 5%
- Image Processing Techniques and Applications 10
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- Advanced Vision and Imaging 6
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- Flexible and Reconfigurable Manufacturing Systems 6
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- Robot Manipulation and Learning 12
- Robotics and Automated Systems 5
- Human-Computer Interaction top 10%
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- Dielectric materials and actuators 7
- Advanced Sensor and Energy Harvesting Materials 6
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- Safety Systems Engineering in Autonomy 6
- Co-authors
- Masatoshi IshikawaIdaku IshiiSeiichiro MizunoHaruyoshi ToyodaToshiharu MukaiKinji AsakaAkio NamikiYoji Yamada
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterología (1 paper)Sensors (1 paper)IEEE/ASME Transactions on Mechatronics (1 paper)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Yoshihiro Nakabo
51 papers receiving 585 citations
Peers
Comparison fields: 5 of 75
- Media Technology 135
- Computer Vision and Pattern Recognition 229
- Industrial and Manufacturing Engineering 72
- Control and Systems Engineering 158
- Human-Computer Interaction 37
Countries citing papers authored by Yoshihiro Nakabo
This map shows the geographic impact of Yoshihiro Nakabo'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 Yoshihiro Nakabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Nakabo more than expected).
Fields of papers citing papers by Yoshihiro Nakabo
This network shows the impact of papers produced by Yoshihiro Nakabo. 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 Yoshihiro Nakabo. The network helps show where Yoshihiro Nakabo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshihiro Nakabo, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 1 | |
| 5 | 2018 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 1 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 1 | |
| 11 | 2012 | 2 | |
| 12 | 2009 | 1 | |
| 13 | 2008 | 1 | |
| 14 | 2006 | 5 | |
| 15 | 2006 | 3 | |
| 16 | 2005 | 1 | |
| 17 | 2005 | 5 | |
| 18 | 2000 | 39 | |
| 19 | 1999 | 8 | |
| 20 | Visual Impedance Using lms Visual Feedback System | 1998 | 12 |
About Yoshihiro Nakabo
Yoshihiro Nakabo is a scholar working on Medical Laboratory Technology, Media Technology and Industrial and Manufacturing Engineering, having authored 53 papers that have together received 625 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Image Processing Techniques and Applications (10 papers), Dielectric materials and actuators (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Safety Systems Engineering in Autonomy (6 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Advanced Vision and Imaging (6 papers) and Robotics and Automated Systems (5 papers). The work is most often cited by research in Media Technology (135 citations), Computer Vision and Pattern Recognition (229 citations) and Industrial and Manufacturing Engineering (72 citations). Yoshihiro Nakabo has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Masatoshi Ishikawa, Idaku Ishii, Seiichiro Mizuno, Haruyoshi Toyoda, Toshiharu Mukai, Kinji Asaka, Akio Namiki, Yoji Yamada, Toshio Ueshiba and Yukiyasu Domae. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE/ASME Transactions on Mechatronics.
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.