Katsumi Uezato
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Aerospace Engineering
- Mechanical Engineering
- Automotive Engineering
- Co-authors
- Tomonobu SenjyuNaomitsu UrasakiToshihisa FunabashiHideki FujitaMummadi VeeracharyHiroki HigaRyosei SakamotoHiroshi Miyazato
- Topics
- Electric Motor Design and Analysis (18 papers)Power System Optimization and Stability (17 papers)Piezoelectric Actuators and Control (13 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
In The Last Decade
Katsumi Uezato
73 papers receiving 529 citations
Peers
Comparison fields: 5 of 36
- Electrical and Electronic Engineering 483
- Control and Systems Engineering 309
- Aerospace Engineering 63
- Mechanical Engineering 45
- Automotive Engineering 36
Countries citing papers authored by Katsumi Uezato
This map shows the geographic impact of Katsumi Uezato'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 Katsumi Uezato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsumi Uezato more than expected).
Fields of papers citing papers by Katsumi Uezato
This network shows the impact of papers produced by Katsumi Uezato. 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 Katsumi Uezato. The network helps show where Katsumi Uezato may publish in the future.
Co-authorship network of co-authors of Katsumi Uezato
This figure shows the co-authorship network connecting the top 25 collaborators of Katsumi Uezato. A scholar is included among the top collaborators of Katsumi Uezato 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 Katsumi Uezato. Katsumi Uezato 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 | Next day Load Curve Forecasting Using Novel Neural Network Structure. | 3 |
| 3 | 1 | |
| 4 | SPEED CONTROL FOR ULTRASONIC MOTORS USING FUZZY ON-LINE TUNING SYSTEM | 6 |
| 5 | High Efficiency Control of Synchronous Reluctance Motors Considering Stator Iron Loss | 1 |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 0 |
About Katsumi Uezato
Katsumi Uezato is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 77 papers that have together received 561 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (18 papers), Power System Optimization and Stability (17 papers) and Piezoelectric Actuators and Control (13 papers). The work is most often cited by research in Control and Systems Engineering (309 citations), Energy Engineering and Power Technology (34 citations) and Electrical and Electronic Engineering (483 citations). Katsumi Uezato has collaborated with scholars based in Japan and India. Frequent co-authors include Tomonobu Senjyu, Naomitsu Urasaki, Toshihisa Funabashi, Hideki Fujita, Mummadi Veerachary, Toshihisa Funabashi, Hiroki Higa, Ryosei Sakamoto, Hiroshi Miyazato and Satoshi Tamaki. Their work appears in journals such as IEEE Transactions on Energy Conversion, International Journal of Electrical Power & Energy Systems and Computers & Electrical Engineering.
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.