Yuichi Kobayashi
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Shigeyuki HosoeDang Quoc ThuyetS. HosoeM. MatsuoTamio AraiAtsushi YamashitaTakumi KatoHajime Asama
- Topics
- Robot Manipulation and Learning (26 papers)Robotic Path Planning Algorithms (23 papers)Robotics and Sensor-Based Localization (22 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringHardware and Architecture
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Yuichi Kobayashi
92 papers receiving 457 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 145
- Control and Systems Engineering 107
- Aerospace Engineering 85
- Electrical and Electronic Engineering 84
- Biomedical Engineering 82
Countries citing papers authored by Yuichi Kobayashi
This map shows the geographic impact of Yuichi Kobayashi'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 Yuichi Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Kobayashi more than expected).
Fields of papers citing papers by Yuichi Kobayashi
This network shows the impact of papers produced by Yuichi Kobayashi. 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 Yuichi Kobayashi. The network helps show where Yuichi Kobayashi may publish in the future.
Co-authorship network of co-authors of Yuichi Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Kobayashi. A scholar is included among the top collaborators of Yuichi Kobayashi 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 Yuichi Kobayashi. Yuichi Kobayashi 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 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Effect of Biomass Collection-center Location on Transportation Efficiency (Part 2)-Examining the Route Length Using GIS- | 1 |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | An interface test-bed for 'Kansei' filters using the touch designer visual programming environment | 2 |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | Image Enhancement Method for Gray Images by Reverse-S-shape Transformation | 1 |
About Yuichi Kobayashi
Yuichi Kobayashi is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Control and Systems Engineering, having authored 108 papers that have together received 497 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (26 papers), Robotic Path Planning Algorithms (23 papers) and Robotics and Sensor-Based Localization (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Control and Systems Engineering (107 citations) and Hardware and Architecture (24 citations). Yuichi Kobayashi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Shigeyuki Hosoe, Dang Quoc Thuyet, S. Hosoe, M. Matsuo, Tamio Arai, Atsushi Yamashita, Takumi Kato, Hajime Asama, Kentaro Takagi and Jun Ota. Their work appears in journals such as Scientific Reports, IEEE Journal of Solid-State Circuits and Computer.
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.