Shyam Krishna Nagar
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Shekhar YadavSantosh Kumar VipparthiShyam KamalAnil Kumar PalAmit Kumar ChoudharyB. BandyopadhyayR. K. SaketLeonid Fridman
- Topics
- Model Reduction and Neural Networks (24 papers)Real-time simulation and control systems (17 papers)Advanced Control Systems Design (13 papers)
- Cited by
- Control and Systems EngineeringStatistical and Nonlinear PhysicsEnergy Engineering and Power Technology
- Journals
- SHILAP Revista de lepidopterologíaAutomaticaExpert Systems with Applications
In The Last Decade
Shyam Krishna Nagar
79 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Control and Systems Engineering 811
- Electrical and Electronic Engineering 353
- Statistical and Nonlinear Physics 245
- Computer Vision and Pattern Recognition 192
- Computer Networks and Communications 143
Countries citing papers authored by Shyam Krishna Nagar
This map shows the geographic impact of Shyam Krishna Nagar'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 Shyam Krishna Nagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyam Krishna Nagar more than expected).
Fields of papers citing papers by Shyam Krishna Nagar
This network shows the impact of papers produced by Shyam Krishna Nagar. 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 Shyam Krishna Nagar. The network helps show where Shyam Krishna Nagar may publish in the future.
Co-authorship network of co-authors of Shyam Krishna Nagar
This figure shows the co-authorship network connecting the top 25 collaborators of Shyam Krishna Nagar. A scholar is included among the top collaborators of Shyam Krishna Nagar 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 Shyam Krishna Nagar. Shyam Krishna Nagar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 64 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | An algorithmic approach for multivariable digital controller design | 1 |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 1 |
About Shyam Krishna Nagar
Shyam Krishna Nagar is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (24 papers), Real-time simulation and control systems (17 papers) and Advanced Control Systems Design (13 papers). The work is most often cited by research in Control and Systems Engineering (811 citations), Statistical and Nonlinear Physics (245 citations) and Energy Engineering and Power Technology (40 citations). Shyam Krishna Nagar has collaborated with scholars based in India, China and Australia. Frequent co-authors include Shekhar Yadav, Santosh Kumar Vipparthi, Shyam Kamal, Anil Kumar Pal, Amit Kumar Choudhary, B. Bandyopadhyay, R. K. Saket, Leonid Fridman, Deepak Kumar and Xinghuo Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Automatica and Expert Systems with Applications.
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.