Madhu Chinthavali
- Electrical and Electronic Engineering top 2%
- Automotive Engineering top 1%
- Mechanical Engineering top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Omer C. OnarJohn M. MillerLeon M. TolbertBurak OzpineciSteven CampbellZhiqiang WangSuman DebnathC.P. White
- Topics
- Silicon Carbide Semiconductor Technologies (49 papers)Advanced DC-DC Converters (28 papers)Multilevel Inverters and Converters (27 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power ElectronicsIEEE Transactions on Industry Applications
- Partner nations
- United StatesChina
In The Last Decade
Madhu Chinthavali
89 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 1.8k
- Automotive Engineering 664
- Mechanical Engineering 197
- Control and Systems Engineering 137
- Biomedical Engineering 57
Countries citing papers authored by Madhu Chinthavali
This map shows the geographic impact of Madhu Chinthavali'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 Madhu Chinthavali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Chinthavali more than expected).
Fields of papers citing papers by Madhu Chinthavali
This network shows the impact of papers produced by Madhu Chinthavali. 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 Madhu Chinthavali. The network helps show where Madhu Chinthavali may publish in the future.
Co-authorship network of co-authors of Madhu Chinthavali
This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Chinthavali. A scholar is included among the top collaborators of Madhu Chinthavali 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 Madhu Chinthavali. Madhu Chinthavali 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 | Gas cooled traction drive inverter | 0 |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 10 | |
| 11 | 24 | |
| 12 | Optimized DC Link for Next Generation Power Modules | 1 |
| 13 | 11 | |
| 14 | 56 | |
| 15 | 4 | |
| 16 | 35 | |
| 17 | 78 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 18 |
About Madhu Chinthavali
Madhu Chinthavali is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (49 papers), Advanced DC-DC Converters (28 papers) and Multilevel Inverters and Converters (27 papers). The work is most often cited by research in Automotive Engineering (664 citations), Electrical and Electronic Engineering (1.8k citations) and Control and Systems Engineering (137 citations). Madhu Chinthavali has collaborated with scholars based in United States and China. Frequent co-authors include Omer C. Onar, John M. Miller, Leon M. Tolbert, Burak Ozpineci, Steven Campbell, Zhiqiang Wang, Suman Debnath, C.P. White, Larry E. Seiber and Tong Wu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.
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.