N. Bhat
Impact in
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- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Control Systems and Identification
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Neural Networks and Applications 6
- Quantum Computing Algorithms and Architecture 1
- Internet Traffic Analysis and Secure E-voting 1
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- Fault Detection and Control Systems 6
- Advanced Control Systems Optimization 5
- Co-authors
- Thomas J. McAvoy (5 shared papers)Sunil Kumar (1 shared paper)Prasad B. Honnavalli (1 shared paper)Sandeep Sagar (1 shared paper)
- Journals
- Computers & Chemical Engineering (2 papers)IEEE Access (1 paper)International Journal of Innovative Technology and Exploring Engineering (1 paper)IEEE Control Systems Magazine (1 paper)IFAC Proceedings Volumes (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
N. Bhat
7 papers receiving 754 citations
N. Bhat's Hit Papers
Peers
Comparison fields: 5 of 77
- Control and Systems Engineering 587
- Artificial Intelligence 397
- Analytical Chemistry 86
- Industrial and Manufacturing Engineering 42
- Mechanical Engineering 108
Countries citing papers authored by N. Bhat
This map shows the geographic impact of N. Bhat'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 N. Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Bhat more than expected).
Fields of papers citing papers by N. Bhat
This network shows the impact of papers produced by N. Bhat. 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 N. Bhat. The network helps show where N. Bhat may publish in the future.
Co-authors
The 5 scholars most cited alongside N. Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Use of neural nets for dynamic modeling and control of chemical process systems Hit paper breakdown → | 1990 | 516 |
| 2 | 1990 | 185 | |
| 3 | 1992 | 50 | |
| 4 | 1992 | 46 | |
| 5 | 2019 | 11 | |
| 6 | 1989 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2002 | 0 |
About N. Bhat
N. Bhat is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Signal Processing and Mechanical Engineering, having authored 8 papers that have together received 811 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Fault Detection and Control Systems (6 papers), Advanced Control Systems Optimization (5 papers), Quantum Computing Algorithms and Architecture (1 paper), Advanced Malware Detection Techniques (1 paper), Network Security and Intrusion Detection (1 paper), Mineral Processing and Grinding (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Control and Systems Engineering (587 citations), Artificial Intelligence (397 citations), Analytical Chemistry (86 citations), Industrial and Manufacturing Engineering (42 citations) and Mechanical Engineering (108 citations). N. Bhat has collaborated with scholars based in United States and India. Frequent co-authors include Thomas J. McAvoy, Sunil Kumar, Sunil Kumar, Prasad B. Honnavalli and Sandeep Sagar. Their work appears in journals such as Computers & Chemical Engineering, IEEE Access, International Journal of Innovative Technology and Exploring Engineering, IEEE Control Systems Magazine and IFAC Proceedings Volumes.
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.