Prateek Singhal
Impact in
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- Electric Power System Optimization
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Energy Load and Power Forecasting
Papers in
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- Optimal Power Flow Distribution 13
- Electric Power System Optimization 12
- Energy Load and Power Forecasting 6
- Smart Grid Energy Management 6
- IoT-based Smart Home Systems 2
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- Face recognition and analysis 3
- Multimodal Machine Learning Applications 2
- Co-authors
- Veena Sharma (9 shared papers)Ram Naresh (7 shared papers)K. Madhava Krishna (2 shared papers)Visesh Chari (1 shared paper)Prabhat Kumar Srivastava (4 shared papers)Sarvesh Kumar (3 shared papers)Dinesh Goyal (1 shared paper)D. K. Singh (1 shared paper)
- Journals
- Arabian Journal for Science and Engineering (1 paper)Computational Intelligence and Neuroscience (1 paper)IET Generation Transmission & Distribution (1 paper)Semigroup Forum (1 paper)Evergreen (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Prateek Singhal
31 papers receiving 304 citations
Peers
Comparison fields: 5 of 60
- Energy Engineering and Power Technology 11
- Electrical and Electronic Engineering 194
- Health Informatics 4
- Computer Vision and Pattern Recognition 55
- Safety, Risk, Reliability and Quality 23
Countries citing papers authored by Prateek Singhal
This map shows the geographic impact of Prateek Singhal'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 Prateek Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateek Singhal more than expected).
Fields of papers citing papers by Prateek Singhal
This network shows the impact of papers produced by Prateek Singhal. 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 Prateek Singhal. The network helps show where Prateek Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Prateek Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2011 | 44 | |
| 3 | 2015 | 26 | |
| 4 | 2011 | 25 | |
| 5 | 2015 | 25 | |
| 6 | 2014 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2015 | 16 | |
| 9 | 2011 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2014 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2016 | 4 |
About Prateek Singhal
Prateek Singhal is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 36 papers that have together received 343 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (13 papers), Electric Power System Optimization (12 papers), Energy Load and Power Forecasting (6 papers), Smart Grid Energy Management (6 papers), Face recognition and analysis (3 papers), IoT-based Smart Home Systems (2 papers), Multimodal Machine Learning Applications (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (11 citations), Electrical and Electronic Engineering (194 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (55 citations) and Safety, Risk, Reliability and Quality (23 citations). Prateek Singhal has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Veena Sharma, Ram Naresh, K. Madhava Krishna, Visesh Chari, Prabhat Kumar Srivastava, Sarvesh Kumar, Dinesh Goyal, D. K. Singh, Puneet Sharma and Deepak Arora. Their work appears in journals such as Arabian Journal for Science and Engineering, Computational Intelligence and Neuroscience, IET Generation Transmission & Distribution, Semigroup Forum and Evergreen.
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.