S. Piche
Impact in
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- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Control Systems and Identification
- Iterative Learning Control Systems
- Adaptive Control of Nonlinear Systems
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Machine Learning and ELM
Papers in
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- Neural Networks and Applications 6
- Machine Learning and ELM 2
- Fuzzy Logic and Control Systems 1
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- Fault Detection and Control Systems 3
- Advanced Control Systems Optimization 2
- Co-authors
- Doug Johnson (2 shared papers)B. Sayyarrodsari (1 shared paper)James D. Keeler (2 shared papers)Eric Hartman (1 shared paper)Bernard Widrow (1 shared paper)
- Journals
- IEEE Control Systems (1 paper)ISA Transactions (1 paper)Neural Information Processing Systems (1 paper)Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. (1 paper)IEEE Transactions on Neural Networks (2 papers)
- Partner nations
- United StatesRomania
In The Last Decade
S. Piche
9 papers receiving 352 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 212
- Artificial Intelligence 173
- Signal Processing 33
- Statistical and Nonlinear Physics 18
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by S. Piche
This map shows the geographic impact of S. Piche'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 S. Piche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Piche more than expected).
Fields of papers citing papers by S. Piche
This network shows the impact of papers produced by S. Piche. 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 S. Piche. The network helps show where S. Piche may publish in the future.
Co-authors
The 5 scholars most cited alongside S. Piche, 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 | 2000 | 150 | |
| 2 | 1994 | 119 | |
| 3 | 1995 | 79 | |
| 4 | Neural Network Based Model Predictive Control | 1999 | 14 |
| 5 | 1998 | 5 | |
| 6 | 2003 | 5 | |
| 7 | 2006 | 3 | |
| 8 | First-Order Gradient Descent Training of Adaptive Discrete-Time Dynamic Networks | 1991 | 2 |
| 9 | 1994 | 1 |
About S. Piche
S. Piche is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistical and Nonlinear Physics, Mechanical Engineering and Hardware and Architecture, having authored 9 papers that have together received 378 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Fault Detection and Control Systems (3 papers), Model Reduction and Neural Networks (2 papers), Machine Learning and ELM (2 papers), Advanced Control Systems Optimization (2 papers), Mineral Processing and Grinding (1 paper), Fuzzy Logic and Control Systems (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (212 citations), Artificial Intelligence (173 citations), Signal Processing (33 citations), Statistical and Nonlinear Physics (18 citations) and Computer Vision and Pattern Recognition (26 citations). S. Piche has collaborated with scholars based in United States and Romania. Frequent co-authors include Doug Johnson, B. Sayyarrodsari, James D. Keeler, Eric Hartman and Bernard Widrow. Their work appears in journals such as IEEE Control Systems, ISA Transactions, Neural Information Processing Systems, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. 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.