Luis Yoichi Morales
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Environmental Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Naoki AkaiEijiro TakeuchiYoshiki NinomiyaYuki YoshiharaHiroshi MuraseTakatsugu HirayamaKazuya TakedaHiroyuki Okuda
- Topics
- Robotics and Sensor-Based Localization (14 papers)Robotic Path Planning Algorithms (8 papers)Autonomous Vehicle Technology and Safety (7 papers)
In The Last Decade
Luis Yoichi Morales
21 papers receiving 378 citations
Peers
Comparison fields: 5 of 53
- Aerospace Engineering 203
- Computer Vision and Pattern Recognition 200
- Automotive Engineering 144
- Environmental Engineering 67
- Control and Systems Engineering 64
Countries citing papers authored by Luis Yoichi Morales
This map shows the geographic impact of Luis Yoichi Morales'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 Luis Yoichi Morales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Yoichi Morales more than expected).
Fields of papers citing papers by Luis Yoichi Morales
This network shows the impact of papers produced by Luis Yoichi Morales. 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 Luis Yoichi Morales. The network helps show where Luis Yoichi Morales may publish in the future.
Co-authorship network of co-authors of Luis Yoichi Morales
This figure shows the co-authorship network connecting the top 25 collaborators of Luis Yoichi Morales. A scholar is included among the top collaborators of Luis Yoichi Morales 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 Luis Yoichi Morales. Luis Yoichi Morales 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 | 8 | |
| 3 | 12 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 62 | |
| 14 | 58 | |
| 15 | 7 | |
| 16 | 93 | |
| 17 | 9 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 3 |
About Luis Yoichi Morales
Luis Yoichi Morales is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 22 papers that have together received 401 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (8 papers) and Autonomous Vehicle Technology and Safety (7 papers). The work is most often cited by research in Automotive Engineering (144 citations), Computer Vision and Pattern Recognition (200 citations) and Geology (48 citations). Luis Yoichi Morales has collaborated with scholars based in Japan, Italy and Germany. Frequent co-authors include Naoki Akai, Eijiro Takeuchi, Yoshiki Ninomiya, Yuki Yoshihara, Hiroshi Murase, Takatsugu Hirayama, Kazuya Takeda, Hiroyuki Okuda, Tatsuya Suzuki and Tetsuo Tomizawa. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Robotics and Journal of Robotics and 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.