D.H. Rao
Impact in
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- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Control Systems and Identification
- Iterative Learning Control Systems
- Advanced Control Systems Optimization
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Neural Networks and Applications 32
- Fuzzy Logic and Control Systems 11
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- Adaptive Control of Nonlinear Systems 8
- Fault Detection and Control Systems 8
- Iterative Learning Control Systems 7
- Control Systems and Identification 6
- Co-authors
- Madan M. Gupta (6 shared papers)Μ.Μ. Gupta (12 shared papers)S. Saraf (1 shared paper)Ν.Κ. Sinha (1 shared paper)H.C. Wood (7 shared papers)George K. Knopf (1 shared paper)P.N. Nikiforuk (3 shared papers)Manjari Gupta (1 shared paper)
In The Last Decade
D.H. Rao
43 papers receiving 567 citations
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 306
- Artificial Intelligence 331
- Media Technology 33
- Computer Vision and Pattern Recognition 74
- Computational Theory and Mathematics 57
Countries citing papers authored by D.H. Rao
This map shows the geographic impact of D.H. Rao'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 D.H. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.H. Rao more than expected).
Fields of papers citing papers by D.H. Rao
This network shows the impact of papers produced by D.H. Rao. 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 D.H. Rao. The network helps show where D.H. Rao may publish in the future.
Co-authors
The 12 scholars most cited alongside D.H. Rao, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neuro-Control Systems: Theory and Applications | 1993 | 173 |
| 2 | 1994 | 172 | |
| 3 | 1993 | 42 | |
| 4 | 2002 | 28 | |
| 5 | 2006 | 24 | |
| 6 | 2005 | 21 | |
| 7 | Neuro-Vision Systems: Principles and Applications | 1995 | 20 |
| 8 | 2007 | 12 | |
| 9 | 2002 | 11 | |
| 10 | 1994 | 11 | |
| 11 | 2002 | 9 | |
| 12 | 1993 | 9 | |
| 13 | 1994 | 8 | |
| 14 | 2002 | 7 | |
| 15 | 1996 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 1993 | 5 | |
| 18 | 2002 | 4 | |
| 19 | 1991 | 4 | |
| 20 | 1993 | 4 |
About D.H. Rao
D.H. Rao is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 44 papers that have together received 623 indexed citations. Recurring topics across this work include Neural Networks and Applications (32 papers), Fuzzy Logic and Control Systems (11 papers), Adaptive Control of Nonlinear Systems (8 papers), Fault Detection and Control Systems (8 papers), Iterative Learning Control Systems (7 papers), Control Systems and Identification (6 papers), Neural Networks Stability and Synchronization (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Control and Systems Engineering (306 citations), Artificial Intelligence (331 citations), Media Technology (33 citations), Computer Vision and Pattern Recognition (74 citations) and Computational Theory and Mathematics (57 citations). D.H. Rao has collaborated with scholars based in Canada, India and Nepal. Frequent co-authors include Madan M. Gupta, Μ.Μ. Gupta, S. Saraf, Ν.Κ. Sinha, H.C. Wood, George K. Knopf, P.N. Nikiforuk, Manjari Gupta, Veena Desai and Manik Gupta. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Intelligent & Robotic Systems, Fuzzy Sets and Systems, Journal of Intelligent & Fuzzy Systems and IETE Journal of Research.
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.