Masayoshi Tomizuka
- Control and Systems Engineering top 0.01%
- Mechanical Engineering top 0.05%
- Automotive Engineering top 0.05%
- Biomedical Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.2%
- Topics
- Iterative Learning Control Systems (289 papers)Vehicle Dynamics and Control Systems (144 papers)Adaptive Control of Nonlinear Systems (126 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic Control
- Partner nations
- United StatesJapanChina
In The Last Decade
Masayoshi Tomizuka
956 papers receiving 25.9k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Control and Systems Engineering 18.4k
- Mechanical Engineering 8.3k
- Automotive Engineering 5.6k
- Biomedical Engineering 4.0k
- Computer Vision and Pattern Recognition 3.7k
Countries citing papers authored by Masayoshi Tomizuka
This map shows the geographic impact of Masayoshi Tomizuka'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 Masayoshi Tomizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayoshi Tomizuka more than expected).
Fields of papers citing papers by Masayoshi Tomizuka
This network shows the impact of papers produced by Masayoshi Tomizuka. 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 Masayoshi Tomizuka. The network helps show where Masayoshi Tomizuka may publish in the future.
Co-authorship network of co-authors of Masayoshi Tomizuka
This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Tomizuka. A scholar is included among the top collaborators of Masayoshi Tomizuka 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 Masayoshi Tomizuka. Masayoshi Tomizuka 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 74 | |
| 14 | 28 | |
| 15 | 23 | |
| 16 | 14 | |
| 17 | 15 | |
| 18 | 32 | |
| 19 | Precision Positioning of Wafer Scanners Segmented Iterative Learning Control for Nonrepetitive Disturbances | 47 |
| 20 | 3 |
About Masayoshi Tomizuka
Masayoshi Tomizuka is a scholar working on Control and Systems Engineering, Automotive Engineering and Mechanical Engineering, having authored 1.0k papers that have together received 27.2k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (289 papers), Vehicle Dynamics and Control Systems (144 papers) and Adaptive Control of Nonlinear Systems (126 papers). The work is most often cited by research in Control and Systems Engineering (18.4k citations), Automotive Engineering (5.6k citations) and Mechanical Engineering (8.3k citations). Masayoshi Tomizuka has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Bin Yao, Tsu‐Chin Tsao, Joonbum Bae, Wei Zhan, Kok-Kia Chew, Liting Sun, Changliu Liu, Huei Peng, Zhenyu Zhao and S. Isaka. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.
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.