Shun Taguchi
- Control and Systems Engineering top 10%
- Automotive Engineering top 5%
- Transportation top 5%
- Building and Construction top 10%
- Electrical and Electronic Engineering
- Co-authors
- Takayoshi YoshimuraMd Abdus Samad KamalSatoshi KoideHiroyuki KajimotoTatsuya SuzukiShinkichi InagakiNoriaki HiroseSoichiro Hayakawa
- Topics
- Robotics and Sensor-Based Localization (6 papers)Autonomous Vehicle Technology and Safety (5 papers)Traffic control and management (5 papers)
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Shun Taguchi
23 papers receiving 278 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 143
- Automotive Engineering 139
- Transportation 66
- Building and Construction 59
- Electrical and Electronic Engineering 43
Countries citing papers authored by Shun Taguchi
This map shows the geographic impact of Shun Taguchi'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 Shun Taguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun Taguchi more than expected).
Fields of papers citing papers by Shun Taguchi
This network shows the impact of papers produced by Shun Taguchi. 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 Shun Taguchi. The network helps show where Shun Taguchi may publish in the future.
Co-authorship network of co-authors of Shun Taguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Shun Taguchi. A scholar is included among the top collaborators of Shun Taguchi 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 Shun Taguchi. Shun Taguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 64 | |
| 13 | 39 | |
| 14 | 36 | |
| 15 | 16 | |
| 16 | Identification of hybrid system based on Probability weighted multiple ARX model | 1 |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 1 |
About Shun Taguchi
Shun Taguchi is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 24 papers that have together received 290 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Traffic control and management (5 papers). The work is most often cited by research in Automotive Engineering (139 citations), Transportation (66 citations) and Control and Systems Engineering (143 citations). Shun Taguchi has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Takayoshi Yoshimura, Md Abdus Samad Kamal, Satoshi Koide, Hiroyuki Kajimoto, Tatsuya Suzuki, Shinkichi Inagaki, Noriaki Hirose, Soichiro Hayakawa, Hiroyuki Okuda and Yuichi Tazaki. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Advanced Robotics.
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.