Koichiro Yamaguchi
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Automotive Engineering
- Media Technology
- Insect Science
- Co-authors
- David McAllesterRaquel UrtasunYoshiki NinomiyaTakashi NaitoAkihiro WatanabeHitoshi MatsumotoSeiji TsuzukiYoichi Hayakawa
- Topics
- Video Surveillance and Tracking Methods (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsInsect Biochemistry and Molecular BiologyIEICE Transactions on Information and Systems
- Partner nations
- SwitzerlandJapanUnited States
In The Last Decade
Koichiro Yamaguchi
10 papers receiving 190 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 156
- Aerospace Engineering 56
- Automotive Engineering 37
- Media Technology 22
- Insect Science 22
Countries citing papers authored by Koichiro Yamaguchi
This map shows the geographic impact of Koichiro Yamaguchi'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 Koichiro Yamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Yamaguchi more than expected).
Fields of papers citing papers by Koichiro Yamaguchi
This network shows the impact of papers produced by Koichiro Yamaguchi. 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 Koichiro Yamaguchi. The network helps show where Koichiro Yamaguchi may publish in the future.
Co-authorship network of co-authors of Koichiro Yamaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Yamaguchi. A scholar is included among the top collaborators of Koichiro Yamaguchi 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 Koichiro Yamaguchi. Koichiro Yamaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 75 | |
| 4 | 27 | |
| 5 | 40 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 6 |
About Koichiro Yamaguchi
Koichiro Yamaguchi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 11 papers that have together received 201 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Automotive Engineering (37 citations) and Media Technology (22 citations). Koichiro Yamaguchi has collaborated with scholars based in Switzerland, Japan and United States. Frequent co-authors include David McAllester, Raquel Urtasun, Yoshiki Ninomiya, Takashi Naito, Akihiro Watanabe, Hitoshi Matsumoto, Seiji Tsuzuki, Yoichi Hayakawa, Masanori Ochiai and Hui Cao. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Insect Biochemistry and Molecular Biology and IEICE Transactions on Information and 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.