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
- 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
- Target Tracking and Data Fusion in Sensor Networks 1
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- Fault Detection and Control Systems 3
- Advanced Control Systems Optimization 2
- Co-authors
- Doug W. Johnson (2 shared papers)Bijan Sayyarrodsari (1 shared paper)James D. Keeler (2 shared papers)Eric Hartman (1 shared paper)Bernard Carlos Widrow (1 shared paper)
- Journals
- ISA Transactions (1 paper)IEEE Control Systems (1 paper)Neural Information Processing Systems (1 paper)IEEE Transactions on Neural Networks (2 papers)Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. (1 paper)
- Partner nations
- United StatesRomania
In The Last Decade
S. Piche
9 papers receiving 381 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 224
- Artificial Intelligence 189
- Signal Processing 34
- Statistical and Nonlinear Physics 21
- Computer Vision and Pattern Recognition 30
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 | 160 | |
| 2 | 1994 | 127 | |
| 3 | 1995 | 87 | |
| 4 | Neural Network Based Model Predictive Control | 1999 | 17 |
| 5 | 2003 | 6 | |
| 6 | 1998 | 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, Hardware and Architecture and Mechanical Engineering, having authored 9 papers that have together received 408 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), Air Quality Monitoring and Forecasting (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (224 citations), Artificial Intelligence (189 citations), Signal Processing (34 citations), Statistical and Nonlinear Physics (21 citations) and Computer Vision and Pattern Recognition (30 citations). S. Piche has collaborated with scholars based in United States and Romania. Frequent co-authors include Doug W. Johnson, Bijan Sayyarrodsari, James D. Keeler, Eric Hartman and Bernard Carlos Widrow. Their work appears in journals such as ISA Transactions, IEEE Control Systems, Neural Information Processing Systems, IEEE Transactions on Neural Networks and Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
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.