Sakshi Agrawal
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery 1
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- ECG Monitoring and Analysis 2
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- Image and Signal Denoising Methods 3
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- Neurobiology and Insect Physiology Research 3
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- Blind Source Separation Techniques 3
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- Advanced Optical Imaging Technologies 2
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- Financial Markets and Investment Strategies 2
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- COVID-19 epidemiological studies 1
Sakshi Agrawal
16 papers receiving 366 citations
Peers
Comparison fields: 5 of 69
- Rehabilitation 36
- Cardiology and Cardiovascular Medicine 89
- Plant Science 138
- Neurology 45
- Biomedical Engineering 130
Countries citing papers authored by Sakshi Agrawal
This map shows the geographic impact of Sakshi 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 Sakshi Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakshi Agrawal more than expected).
Fields of papers citing papers by Sakshi Agrawal
This network shows the impact of papers produced by Sakshi 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 Sakshi Agrawal. The network helps show where Sakshi Agrawal may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Sakshi 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 0 | |
| 4 | Retail Investors Awareness Towards Equity Investment – With Reference to Bhopal City | 2020 | 0 |
| 5 | 2020 | 0 | |
| 6 | Secure and transparent file encryption system | 2019 | 2 |
| 7 | 2019 | 5 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 0 | |
| 11 | 2018 | 1 | |
| 12 | 2013 | 85 | |
| 13 | 2013 | 8 | |
| 14 | 2013 | 10 | |
| 15 | 2012 | 0 | |
| 16 | 2011 | 66 | |
| 17 | 2011 | 6 | |
| 18 | 2000 | 62 | |
| 19 | 1993 | 135 | |
| 20 | Effect of different levels of irrigation, nitrogen and phosphorus on growth, yield and quality of linseed (Linum usitatissimum Linn.). | 1970 | 9 |
About Sakshi Agrawal
Sakshi Agrawal is a scholar working on Energy Engineering and Power Technology, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 398 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Neurobiology and Insect Physiology Research (3 papers), Blind Source Separation Techniques (3 papers), ECG Monitoring and Analysis (2 papers), Advanced Optical Imaging Technologies (2 papers), Financial Markets and Investment Strategies (2 papers), Stroke Rehabilitation and Recovery (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Rehabilitation (36 citations), Cardiology and Cardiovascular Medicine (89 citations), Plant Science (138 citations), Neurology (45 citations) and Biomedical Engineering (130 citations). Sakshi Agrawal has collaborated with scholars based in India, United States and Chile. Frequent co-authors include Anubha Gupta, Tariq Rahman, Whitney Sample, Kenneth E. Barner, Clayton G. Campbell, R. B. Mehra, A. M. Abd El Moneim, J. Gil, Ji-Chul Ryu and Sridhar Ramasamy. Their work appears in journals such as Euphytica, Computers in Biology and Medicine, IEEE Sensors Journal, Applied Engineering in Agriculture and Indian Journal of Agronomy.
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.