Deepak Kumar
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Numerical methods for differential equations
Papers in
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- Model Reduction and Neural Networks 47
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- Microgrid Control and Optimization 16
- Co-authors
- Victor Sreeram (23 shared papers)Paulson Samuel (19 shared papers)Yateendra Mishra (6 shared papers)Mohammad Mehdi Rashidi (1 shared paper)S. Abbasbandy (1 shared paper)Dr. Sunil Kumar (1 shared paper)Shyam Krishna Nagar (10 shared papers)Monalisa Pattnaik (2 shared papers)
In The Last Decade
Deepak Kumar
71 papers receiving 787 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 137
- Numerical Analysis 154
- Energy Engineering and Power Technology 77
- Statistical and Nonlinear Physics 254
- Control and Systems Engineering 385
Countries citing papers authored by Deepak Kumar
This map shows the geographic impact of Deepak 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 Deepak Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Kumar more than expected).
Fields of papers citing papers by Deepak Kumar
This network shows the impact of papers produced by Deepak 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 Deepak Kumar. The network helps show where Deepak Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak 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
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 136 | |
| 2 | 2019 | 82 | |
| 3 | 2019 | 53 | |
| 4 | 2019 | 39 | |
| 5 | 2017 | 36 | |
| 6 | 2018 | 27 | |
| 7 | 2012 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2013 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2017 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2023 | 11 |
About Deepak Kumar
Deepak Kumar is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Statistics, Probability and Uncertainty, Numerical Analysis and Mechanical Engineering, having authored 84 papers that have together received 805 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (47 papers), Hydraulic and Pneumatic Systems (17 papers), Microgrid Control and Optimization (16 papers), Probabilistic and Robust Engineering Design (16 papers), Power System Optimization and Stability (13 papers), Numerical methods for differential equations (11 papers), Frequency Control in Power Systems (11 papers) and Fluid Dynamics and Vibration Analysis (10 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Numerical Analysis (154 citations), Energy Engineering and Power Technology (77 citations), Statistical and Nonlinear Physics (254 citations) and Control and Systems Engineering (385 citations). Deepak Kumar has collaborated with scholars based in India, Australia and Malaysia. Frequent co-authors include Victor Sreeram, Paulson Samuel, Yateendra Mishra, Mohammad Mehdi Rashidi, S. Abbasbandy, Dr. Sunil Kumar, Shyam Krishna Nagar, Monalisa Pattnaik, Jyotismita Mishra and Xin Du. Their work appears in journals such as Asian Journal of Control, Sadhana, IET Renewable Power Generation, IEEE Transactions on Circuits & Systems II Express Briefs and International Journal of Electrical Power & Energy Systems.
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.