Toshihisa Funabashi
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- Power Systems and Renewable Energy 25
- Control and Systems Engineering top 0.5%
- Microgrid Control and Optimization 69
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- Smart Grid Energy Management 46
- Wind Turbine Control Systems 37
- Optimal Power Flow Distribution 29
- Energy Load and Power Forecasting 27
- Electric Power System Optimization 27
- Electric Motor Design and Analysis 20
- Automotive Engineering top 5%
Toshihisa Funabashi
204 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Energy Engineering and Power Technology 331
- Control and Systems Engineering 2.1k
- Electrical and Electronic Engineering 3.9k
- Automotive Engineering 246
- Management Science and Operations Research 243
Countries citing papers authored by Toshihisa Funabashi
This map shows the geographic impact of Toshihisa Funabashi'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 Toshihisa Funabashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihisa Funabashi more than expected).
Fields of papers citing papers by Toshihisa Funabashi
This network shows the impact of papers produced by Toshihisa Funabashi. 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 Toshihisa Funabashi. The network helps show where Toshihisa Funabashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshihisa Funabashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 2 | |
| 2 | Integration of Distributed Energy Resources in Power Systems : Implementation, Operation and Control | 2016 | 26 |
| 3 | 2014 | 9 | |
| 4 | 2014 | 0 | |
| 5 | 2014 | 4 | |
| 6 | 2013 | 3 | |
| 7 | 2012 | 2 | |
| 8 | 2012 | 4 | |
| 9 | 2011 | 7 | |
| 10 | 2011 | 2 | |
| 11 | 2010 | 14 | |
| 12 | Smoothing Output Power Variations of Isolated Utility Connected Multiple PV Systems by Coordinated Control | 2009 | 12 |
| 13 | 2009 | 10 | |
| 14 | Very Short-Term Generating Power Forecasting for Wind Power Generator Based on Time Series Analysis | 2008 | 1 |
| 15 | 2007 | 4 | |
| 16 | 2007 | 1 | |
| 17 | 2006 | 3 | |
| 18 | An Adaptive Dead-time Compensation Strategy for a Permanent Magnet Synchronous Motor Drive Using Neural Network | 2006 | 7 |
| 19 | 2006 | 4 | |
| 20 | A Study on a New Rotary Frequency Converter for Wind Farm Power System | 2001 | 5 |
About Toshihisa Funabashi
Toshihisa Funabashi is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 215 papers that have together received 4.5k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (69 papers), Smart Grid Energy Management (46 papers), Wind Turbine Control Systems (37 papers), Optimal Power Flow Distribution (29 papers), Energy Load and Power Forecasting (27 papers), Electric Power System Optimization (27 papers), Power Systems and Renewable Energy (25 papers) and Electric Motor Design and Analysis (20 papers). The work is most often cited by research in Energy Engineering and Power Technology (331 citations), Control and Systems Engineering (2.1k citations) and Electrical and Electronic Engineering (3.9k citations). Toshihisa Funabashi has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Tomonobu Senjyu, K. Uezato, Atsushi Yona, N. Urasaki, Ahmed Yousuf Saber, K. Shimabukuro, Hideomi Sekine, Chul‐Hwan Kim, Naomitsu Urasaki and Yoshitaka Miyazato.
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.