C. Agees Kumar
Impact in
- Control and Systems Engineering top 10%
- Advanced Control Systems Design
- Advanced Control Systems Optimization
- Microgrid Control and Optimization
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- Brain Tumor Detection and Classification
Papers in
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- Advanced Control Systems Design 7
- Advanced Control Systems Optimization 6
- Microgrid Control and Optimization 3
- Extremum Seeking Control Systems 2
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- Multilevel Inverters and Converters 4
- Sensorless Control of Electric Motors 4
- Advanced DC-DC Converters 2
- Co-authors
- A. Ahilan (1 shared paper)Sujatha Krishnamoorthy (1 shared paper)Gunasekaran Manogaran (1 shared paper)S. N. Kumar (1 shared paper)Priyan Malarvizhi Kumar (1 shared paper)Gokulnath Chandra Babu (1 shared paper)P. Parthasarathy (1 shared paper)T. Jarin (1 shared paper)
In The Last Decade
C. Agees Kumar
13 papers receiving 272 citations
Peers
Comparison fields: 5 of 79
- Control and Systems Engineering 99
- Neurology 23
- Computer Vision and Pattern Recognition 56
- Media Technology 17
- Artificial Intelligence 61
Countries citing papers authored by C. Agees Kumar
This map shows the geographic impact of C. Agees 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 C. Agees Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Agees Kumar more than expected).
Fields of papers citing papers by C. Agees Kumar
This network shows the impact of papers produced by C. Agees 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 C. Agees Kumar. The network helps show where C. Agees Kumar may publish in the future.
Co-authors
The 9 scholars most cited alongside C. Agees 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 | 2019 | 117 | |
| 2 | 2019 | 46 | |
| 3 | 2020 | 28 | |
| 4 | 2016 | 27 | |
| 5 | 2017 | 22 | |
| 6 | 2011 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2012 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2014 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2012 | 0 |
About C. Agees Kumar
C. Agees Kumar is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Computer Networks and Communications and Automotive Engineering, having authored 17 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Control Systems Design (7 papers), Advanced Control Systems Optimization (6 papers), Multilevel Inverters and Converters (4 papers), Sensorless Control of Electric Motors (4 papers), Microgrid Control and Optimization (3 papers), Photovoltaic System Optimization Techniques (3 papers), Extremum Seeking Control Systems (2 papers) and Advanced DC-DC Converters (2 papers). The work is most often cited by research in Control and Systems Engineering (99 citations), Neurology (23 citations), Computer Vision and Pattern Recognition (56 citations), Media Technology (17 citations) and Artificial Intelligence (61 citations). C. Agees Kumar has collaborated with scholars based in India, China and Lebanon. Frequent co-authors include A. Ahilan, Sujatha Krishnamoorthy, Gunasekaran Manogaran, S. N. Kumar, Priyan Malarvizhi Kumar, Gokulnath Chandra Babu, P. Parthasarathy, T. Jarin and B.V. Manikandan. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, Neural Computing and Applications, IEEE Access, Measurement and Automatika.
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.