Nikhil Agrawal
- Signal Processing top 10%
- Digital Filter Design and Implementation 15
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques 15
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- Image and Signal Denoising Methods 5
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- Advanced Control Systems Design 4
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- Water resources management and optimization 3
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- Water-Energy-Food Nexus Studies 3
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- Advanced Fiber Optic Sensors 3
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- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Anil KumarVarun BajajAmit KumarGirish Kumar SinghMd. AhiduzzamanAnurag SinghHimanshu SinghSudeep D. Thepade
- Journals
- IEEE Transactions on Industrial Electronics (1 paper)Applied Energy (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- IndiaSouth KoreaCanada
In The Last Decade
Nikhil Agrawal
21 papers receiving 299 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 95
- Computational Mechanics 76
- Energy Engineering and Power Technology 11
- Computer Vision and Pattern Recognition 56
- General Engineering 3
Countries citing papers authored by Nikhil Agrawal
This map shows the geographic impact of Nikhil Agrawal'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 Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Agrawal more than expected).
Fields of papers citing papers by Nikhil Agrawal
This network shows the impact of papers produced by Nikhil Agrawal. 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 Agrawal. The network helps show where Nikhil Agrawal may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Nikhil Agrawal, 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 | 2024 | 0 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 51 | |
| 7 | 2018 | 32 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 48 | |
| 11 | 2017 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 10 | |
| 15 | 2016 | 22 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 9 | |
| 18 | 2015 | 8 | |
| 19 | 2011 | 12 | |
| 20 | 2007 | 1 |
About Nikhil Agrawal
Nikhil Agrawal is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 314 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (15 papers), Advanced Adaptive Filtering Techniques (15 papers), Image and Signal Denoising Methods (5 papers), Advanced Control Systems Design (4 papers), Water resources management and optimization (3 papers), Water-Energy-Food Nexus Studies (3 papers), Advanced Fiber Optic Sensors (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Signal Processing (95 citations), Computational Mechanics (76 citations) and Energy Engineering and Power Technology (11 citations). Nikhil Agrawal has collaborated with scholars based in India, South Korea and Canada. Frequent co-authors include Anil Kumar, Varun Bajaj, Amit Kumar, Girish Kumar Singh, Md. Ahiduzzaman, Anurag Singh, Himanshu Singh, Sudeep D. Thepade, Seungchan Lee and Heung-No Lee. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Applied Energy and IEEE Transactions on Cybernetics.
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.