Rajneesh Sharma
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering
- Co-authors
- Hasmat MalikM. GopalBijaya Ketan PanigrahiSukumar MishraMoti Lal RinawaAnurag ShrivastavaV. ShanmugasundaramMatthijs T. J. Spaan
- Topics
- Reinforcement Learning in Robotics (20 papers)Adaptive Dynamic Programming Control (20 papers)Fuzzy Logic and Control Systems (14 papers)
In The Last Decade
Rajneesh Sharma
71 papers receiving 806 citations
Peers
Comparison fields: 5 of 110
- Electrical and Electronic Engineering 265
- Artificial Intelligence 256
- Control and Systems Engineering 237
- Computational Theory and Mathematics 83
- Mechanical Engineering 81
Countries citing papers authored by Rajneesh Sharma
This map shows the geographic impact of Rajneesh Sharma'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 Rajneesh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajneesh Sharma more than expected).
Fields of papers citing papers by Rajneesh Sharma
This network shows the impact of papers produced by Rajneesh Sharma. 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 Rajneesh Sharma. The network helps show where Rajneesh Sharma may publish in the future.
Co-authorship network of co-authors of Rajneesh Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Rajneesh Sharma. A scholar is included among the top collaborators of Rajneesh Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajneesh Sharma. Rajneesh Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 52 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 62 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | Wavelet Transform Based Pneumonia Classification of Chest X- Ray Images | 12 |
| 15 | EEG Signal based Seizure Classification Using Wavelet Transform | 5 |
| 16 | 4 | |
| 17 | 17 | |
| 18 | A Hybrid Lyapunov Fuzzy Reinforcement Learning Controller | 3 |
| 19 | A Safe and Consistent Game-theoretic Controller for Nonlinear Systems. | 2 |
| 20 | 7 |
About Rajneesh Sharma
Rajneesh Sharma is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 76 papers that have together received 844 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (20 papers), Adaptive Dynamic Programming Control (20 papers) and Fuzzy Logic and Control Systems (14 papers). The work is most often cited by research in Energy Engineering and Power Technology (34 citations), Control and Systems Engineering (237 citations) and Artificial Intelligence (256 citations). Rajneesh Sharma has collaborated with scholars based in India, Portugal and Ethiopia. Frequent co-authors include Hasmat Malik, M. Gopal, Bijaya Ketan Panigrahi, Sukumar Mishra, Moti Lal Rinawa, Anurag Shrivastava, V. Shanmugasundaram, Matthijs T. J. Spaan, S. Suresh Kumar and Vikas Tripathi. Their work appears in journals such as International Journal of Hydrogen Energy, Energy and IEEE Transactions on Fuzzy 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.