P.S. Khedkar
Impact in
- Artificial Intelligence top 2%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
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- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
Papers in
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- Fuzzy Logic and Control Systems 8
- Neural Networks and Applications 7
- Evolutionary Algorithms and Applications 2
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- Adaptive Control of Nonlinear Systems 2
- Fault Detection and Control Systems 2
- Advanced Control Systems Design 1
- Co-authors
- H.R. Berenji (4 shared papers)Piero P. Bonissone (4 shared papers)Kai Goebel (1 shared paper)Michael Schutten (2 shared papers)Yaobin Chen (1 shared paper)Srinivasan Keshav (1 shared paper)Kuniaki Yabe (1 shared paper)N.W. Miller (1 shared paper)
- Journals
- Proceedings of the IEEE (2 papers)IEEE Transactions on Power Systems (1 paper)Proceedings of IEEE 5th International Fuzzy Systems (2 papers)IEEE Transactions on Neural Networks (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
P.S. Khedkar
10 papers receiving 850 citations
P.S. Khedkar's Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 684
- Control and Systems Engineering 410
- Statistics and Probability 50
- Computational Theory and Mathematics 95
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by P.S. Khedkar
This map shows the geographic impact of P.S. Khedkar'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 P.S. Khedkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.S. Khedkar more than expected).
Fields of papers citing papers by P.S. Khedkar
This network shows the impact of papers produced by P.S. Khedkar. 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 P.S. Khedkar. The network helps show where P.S. Khedkar may publish in the future.
Co-authors
The 9 scholars most cited alongside P.S. Khedkar, 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 | Learning and tuning fuzzy logic controllers through reinforcements Hit paper breakdown → | 1992 | 652 |
| 2 | 1995 | 82 | |
| 3 | 1999 | 76 | |
| 4 | 2002 | 44 | |
| 5 | 1996 | 29 | |
| 6 | 2002 | 19 | |
| 7 | 2002 | 12 | |
| 8 | 2003 | 11 | |
| 9 | 2002 | 7 | |
| 10 | 2002 | 4 | |
| 11 | A Neural Network Predictor For Reengineering Of Resin Manufacturing | 2000 | 0 |
About P.S. Khedkar
P.S. Khedkar is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Computational Theory and Mathematics and Aerospace Engineering, having authored 11 papers that have together received 936 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (8 papers), Neural Networks and Applications (7 papers), Adaptive Control of Nonlinear Systems (2 papers), Evolutionary Algorithms and Applications (2 papers), Fault Detection and Control Systems (2 papers), Fuzzy Systems and Optimization (1 paper), Advanced Control Systems Design (1 paper) and Rough Sets and Fuzzy Logic (1 paper). The work is most often cited by research in Artificial Intelligence (684 citations), Control and Systems Engineering (410 citations), Statistics and Probability (50 citations), Computational Theory and Mathematics (95 citations) and Computer Vision and Pattern Recognition (66 citations). P.S. Khedkar has collaborated with scholars based in United States and Japan. Frequent co-authors include H.R. Berenji, Piero P. Bonissone, Kai Goebel, Michael Schutten, Yaobin Chen, Srinivasan Keshav, Kuniaki Yabe, N.W. Miller and Robert N. Lea. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems, Proceedings of IEEE 5th International Fuzzy Systems and IEEE Transactions on Neural Networks.
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.