E. Vinodh Kumar
Impact in
-
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Design
- Magnetic Bearings and Levitation Dynamics
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Extremum Seeking Control Systems
Papers in
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- Adaptive Control of Nonlinear Systems 7
- Advanced Control Systems Optimization 2
- Magnetic Bearings and Levitation Dynamics 2
- Advanced Control Systems Design 2
- Iterative Learning Control Systems 2
- Control and Dynamics of Mobile Robots 2
- Stability and Control of Uncertain Systems 1
- Dynamics and Control of Mechanical Systems 1
- Surgery 1
- Co-authors
- Jovitha Jerome (5 shared papers)K. Selvakumar (1 shared paper)S. Kanthalakshmi (1 shared paper)
- Journals
- Applied Soft Computing (1 paper)Biomedical Signal Processing and Control (1 paper)IETE Journal of Research (1 paper)2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (1 paper)Procedia Engineering (3 papers)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
E. Vinodh Kumar
8 papers receiving 375 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 307
- Physiology 17
- Aerospace Engineering 59
- Automotive Engineering 27
- Modeling and Simulation 9
Countries citing papers authored by E. Vinodh Kumar
This map shows the geographic impact of E. Vinodh Kumar'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 E. Vinodh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Vinodh Kumar more than expected).
Fields of papers citing papers by E. Vinodh Kumar
This network shows the impact of papers produced by E. Vinodh Kumar. 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 E. Vinodh Kumar. The network helps show where E. Vinodh Kumar may publish in the future.
Co-authors
The 3 scholars most cited alongside E. Vinodh Kumar, 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 | 2013 | 124 | |
| 2 | 2015 | 122 | |
| 3 | 2013 | 77 | |
| 4 | 2014 | 32 | |
| 5 | 2022 | 21 | |
| 6 | 2014 | 6 | |
| 7 | 2019 | 3 | |
| 8 | 2014 | 1 | |
| 9 | 2022 | 0 |
About E. Vinodh Kumar
E. Vinodh Kumar is a scholar working on Control and Systems Engineering, Surgery, Cardiology and Cardiovascular Medicine, Fluid Flow and Transfer Processes and Mechanical Engineering, having authored 9 papers that have together received 386 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (7 papers), Advanced Control Systems Optimization (2 papers), Magnetic Bearings and Levitation Dynamics (2 papers), Advanced Control Systems Design (2 papers), Iterative Learning Control Systems (2 papers), Control and Dynamics of Mobile Robots (2 papers), Stability and Control of Uncertain Systems (1 paper) and Dynamics and Control of Mechanical Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (307 citations), Physiology (17 citations), Aerospace Engineering (59 citations), Automotive Engineering (27 citations) and Modeling and Simulation (9 citations). E. Vinodh Kumar has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Jovitha Jerome, K. Selvakumar and S. Kanthalakshmi. Their work appears in journals such as Applied Soft Computing, Biomedical Signal Processing and Control, IETE Journal of Research, 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) and Procedia 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.