Yoichiro Maeda
Impact in
- Human-Computer Interaction top 10%
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 14
- Visual Attention and Saliency Detection 7
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- Reinforcement Learning in Robotics 16
- Evolutionary Algorithms and Applications 9
- Co-authors
- Yasutake Takahashi (37 shared papers)Morikazu Takegaki (2 shared papers)Takayuki Nakamura (7 shared papers)Tomohiro Takagi (2 shared papers)Kyohei Yoshida (3 shared papers)Kazuyuki Murase (1 shared paper)Pintu Chandra Shill (1 shared paper)Masayuki Yamamoto (1 shared paper)
- Journals
- International journal of innovative computing, information & control (1 paper)International Journal of Approximate Reasoning (1 paper)Information Sciences (1 paper)Advanced Robotics (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yoichiro Maeda
70 papers receiving 275 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 42
- Computer Vision and Pattern Recognition 113
- Control and Systems Engineering 100
- Artificial Intelligence 98
- Ocean Engineering 42
Countries citing papers authored by Yoichiro Maeda
This map shows the geographic impact of Yoichiro Maeda'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 Yoichiro Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichiro Maeda more than expected).
Fields of papers citing papers by Yoichiro Maeda
This network shows the impact of papers produced by Yoichiro Maeda. 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 Yoichiro Maeda. The network helps show where Yoichiro Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoichiro Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 42 | |
| 2 | 1988 | 28 | |
| 3 | 2005 | 15 | |
| 4 | Parallel genetic algorithm with adaptive genetic parameters tuned by fuzzy reasoning | 2005 | 13 |
| 5 | 2013 | 10 | |
| 6 | 2016 | 9 | |
| 7 | 1999 | 8 | |
| 8 | 1993 | 8 | |
| 9 | 2010 | 7 | |
| 10 | 2011 | 7 | |
| 11 | 2006 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 1999 | 6 | |
| 15 | 1991 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2010 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2009 | 5 | |
| 20 | 2018 | 5 |
About Yoichiro Maeda
Yoichiro Maeda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction and Social Psychology, having authored 78 papers that have together received 320 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (16 papers), Robotic Path Planning Algorithms (14 papers), Gaze Tracking and Assistive Technology (11 papers), Robotics and Automated Systems (11 papers), Evolutionary Algorithms and Applications (9 papers), Social Robot Interaction and HRI (9 papers), Robot Manipulation and Learning (7 papers) and Visual Attention and Saliency Detection (7 papers). The work is most often cited by research in Human-Computer Interaction (42 citations), Computer Vision and Pattern Recognition (113 citations), Control and Systems Engineering (100 citations), Artificial Intelligence (98 citations) and Ocean Engineering (42 citations). Yoichiro Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yasutake Takahashi, Morikazu Takegaki, Takayuki Nakamura, Tomohiro Takagi, Kyohei Yoshida, Kazuyuki Murase, Pintu Chandra Shill, Masayuki Yamamoto, Hiroshi Koyama and Satoru Fukami. Their work appears in journals such as International journal of innovative computing, information & control, International Journal of Approximate Reasoning, Information Sciences, Advanced Robotics and Journal of Intelligent & Fuzzy 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.