Yoji KURODA
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- Robotic Path Planning Algorithms 23
- Advanced Vision and Imaging 11
- Advanced Image and Video Retrieval Techniques 8
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 42
- Control and Systems Engineering top 10%
- Robotics and Automated Systems 8
- Automotive Engineering top 10%
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- Indoor and Outdoor Localization Technologies 13
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- Modular Robots and Swarm Intelligence 11
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- Remote Sensing and LiDAR Applications 11
Yoji KURODA
63 papers receiving 374 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 185
- Aerospace Engineering 148
- Control and Systems Engineering 123
- Automotive Engineering 58
- Geology 20
Countries citing papers authored by Yoji KURODA
This map shows the geographic impact of Yoji KURODA'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 Yoji KURODA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoji KURODA more than expected).
Fields of papers citing papers by Yoji KURODA
This network shows the impact of papers produced by Yoji KURODA. 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 Yoji KURODA. The network helps show where Yoji KURODA may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoji KURODA, 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 | 2023 | 2 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 3 | |
| 4 | 2019 | 0 | |
| 5 | 2018 | 7 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 5 | |
| 8 | 2014 | 3 | |
| 9 | 2014 | 10 | |
| 10 | 2013 | 8 | |
| 11 | 2012 | 3 | |
| 12 | Online Road Surface Analysis using Laser Remission in Structured Outdoor Environments | 2010 | 0 |
| 13 | Vision Based Far-Range Perception and Traversability Analysis using Predictive Probability of Terrain Classification | 2010 | 8 |
| 14 | Visual Odometry using Ground Plane in Dynamic Untextured Environment | 2010 | 1 |
| 15 | Visual Odometry Using Feature Point and Ground Plane for Urban Environments | 2010 | 2 |
| 16 | 2010 | 4 | |
| 17 | 2006 | 4 | |
| 18 | 2000 | 0 | |
| 19 | Low Power Mobility System for Micro Planetary Rover Micro 5 | 1999 | 36 |
| 20 | Tele-Science by Planetary Rover : Micro 5 | 1999 | 1 |
About Yoji KURODA
Yoji KURODA is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 70 papers that have together received 422 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (42 papers), Robotic Path Planning Algorithms (23 papers), Indoor and Outdoor Localization Technologies (13 papers), Modular Robots and Swarm Intelligence (11 papers), Remote Sensing and LiDAR Applications (11 papers), Advanced Vision and Imaging (11 papers), Robotics and Automated Systems (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Aerospace Engineering (148 citations) and Control and Systems Engineering (123 citations). Yoji KURODA has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Takashi Kubota, Karl Iagnemma, Matthew Spenko, Steven Dubowsky, Atsushi Sakai, Ichiro Nakatani, Tamaki Ura, Shingo Shimoda, Koji Kondo and Masataka Suzuki.
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.