Nikhil Kumar
Impact in
- Control and Systems Engineering top 10%
- Microgrid Control and Optimization
Papers in
-
- Islanding Detection in Power Systems 3
- Optimal Power Flow Distribution 2
- Frequency Control in Power Systems 2
-
- Microgrid Control and Optimization 3
- Co-authors
- S. A. Ranade (1 shared paper)P.K. Nagar (1 shared paper)Sarvesh Kumar Pandey (1 shared paper)Anurag K. Srivastava (4 shared papers)Farshid Shariatzadeh (2 shared papers)G. Lloyds Raja (2 shared papers)Pulakraj Aryan (2 shared papers)Utkal Ranjan Muduli (1 shared paper)
- Journals
- IEEE Transactions on Industry Applications (2 papers)Journal of Biosciences (1 paper)IFAC-PapersOnLine (1 paper)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Nikhil Kumar
7 papers receiving 316 citations
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 127
- Energy Engineering and Power Technology 14
- Plant Science 153
- Electrical and Electronic Engineering 128
- Molecular Biology 82
Countries citing papers authored by Nikhil Kumar
This map shows the geographic impact of Nikhil 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 Nikhil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Kumar more than expected).
Fields of papers citing papers by Nikhil Kumar
This network shows the impact of papers produced by Nikhil 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 Nikhil Kumar. The network helps show where Nikhil Kumar may publish in the future.
Co-authors
The 12 scholars most cited alongside Nikhil 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 | 2000 | 173 | |
| 2 | 2016 | 75 | |
| 3 | 2024 | 38 | |
| 4 | 2007 | 24 | |
| 5 | 2024 | 8 | |
| 6 | 2008 | 7 | |
| 7 | 2015 | 5 |
About Nikhil Kumar
Nikhil Kumar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Computer Networks and Communications and Molecular Biology, having authored 7 papers that have together received 330 indexed citations. Recurring topics across this work include Islanding Detection in Power Systems (3 papers), Microgrid Control and Optimization (3 papers), Optimal Power Flow Distribution (2 papers), Power System Reliability and Maintenance (2 papers), Frequency Control in Power Systems (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Maritime Transport Emissions and Efficiency (1 paper) and Combustion and flame dynamics (1 paper). The work is most often cited by research in Control and Systems Engineering (127 citations), Energy Engineering and Power Technology (14 citations), Plant Science (153 citations), Electrical and Electronic Engineering (128 citations) and Molecular Biology (82 citations). Nikhil Kumar has collaborated with scholars based in India, United States and Spain. Frequent co-authors include S. A. Ranade, P.K. Nagar, Sarvesh Kumar Pandey, Anurag K. Srivastava, Farshid Shariatzadeh, G. Lloyds Raja, Pulakraj Aryan, Utkal Ranjan Muduli, Noel N. Schulz and Montse Meneses. Their work appears in journals such as IEEE Transactions on Industry Applications, Journal of Biosciences and IFAC-PapersOnLine.
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.