M. Yamamoto
- Materials Chemistry top 10%
- Civil and Structural Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Catalysis top 5%
- Biomaterials top 10%
- Co-authors
- M. KandaT. KohnoHajime YoshidaFumiyuki KawashimaTeruhiko InabaI. SakaiMasahiko HigashinoSaburo Tsuji
- Topics
- Seismic Performance and Analysis (14 papers)Structural Engineering and Vibration Analysis (12 papers)Vibration Control and Rheological Fluids (9 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- JapanUnited StatesChina
In The Last Decade
M. Yamamoto
98 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Materials Chemistry 623
- Civil and Structural Engineering 330
- Computer Vision and Pattern Recognition 315
- Catalysis 294
- Biomaterials 177
Countries citing papers authored by M. Yamamoto
This map shows the geographic impact of M. Yamamoto'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 M. Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Yamamoto more than expected).
Fields of papers citing papers by M. Yamamoto
This network shows the impact of papers produced by M. Yamamoto. 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 M. Yamamoto. The network helps show where M. Yamamoto may publish in the future.
Co-authorship network of co-authors of M. Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of M. Yamamoto. A scholar is included among the top collaborators of M. Yamamoto 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 M. Yamamoto. M. Yamamoto 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 | 17 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 58 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | An experimental study for multi-objective optimization by particle swarm with graph based archive | 1 |
| 10 | 3 | |
| 11 | 8 | |
| 12 | Detection of Driver's Face Orientation for Safety Driving Assistance | 3 |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 18 | |
| 17 | Robust control for automated lane keeping against lateral disturbance | 0 |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 0 |
About M. Yamamoto
M. Yamamoto is a scholar working on Civil and Structural Engineering, Industrial and Manufacturing Engineering and Computer Graphics and Computer-Aided Design, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Seismic Performance and Analysis (14 papers), Structural Engineering and Vibration Analysis (12 papers) and Vibration Control and Rheological Fluids (9 papers). The work is most often cited by research in Catalysis (294 citations), Energy Engineering and Power Technology (94 citations) and Computer Vision and Pattern Recognition (315 citations). M. Yamamoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include M. Kanda, T. Kohno, Hajime Yoshida, Fumiyuki Kawashima, Teruhiko Inaba, I. Sakai, Masahiko Higashino, Saburo Tsuji, Hiroshi Ishiguro and Takahiro Suzuki. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.