M.F. Tenorio
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
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- Control Systems and Identification
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Advanced Algorithms and Applications
Papers in
-
- Neural Networks and Applications 27
- Neural Networks and Reservoir Computing 4
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- Time Series Analysis and Forecasting 5
- Blind Source Separation Techniques 4
- Co-authors
- R. Shoureshi (2 shared papers)Dan Moldovan (1 shared paper)Gintaras V. Reklaitis (2 shared papers)C.D. McGillem (1 shared paper)Timothy Masters (1 shared paper)Ghobad Heidari-Bateni (1 shared paper)Wynne Hsu (5 shared papers)Jun Lü (1 shared paper)
- Journals
- Parallel Computing (1 paper)International Journal of Neural Systems (1 paper)IEEE Transactions on Education (1 paper)Neural Computing and Applications (1 paper)Remote Sensing Reviews (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
M.F. Tenorio
32 papers receiving 460 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 337
- Control and Systems Engineering 225
- Signal Processing 55
- Software 12
- Statistical and Nonlinear Physics 38
Countries citing papers authored by M.F. Tenorio
This map shows the geographic impact of M.F. Tenorio'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 M.F. Tenorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.F. Tenorio more than expected).
Fields of papers citing papers by M.F. Tenorio
This network shows the impact of papers produced by M.F. Tenorio. 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 M.F. Tenorio. The network helps show where M.F. Tenorio may publish in the future.
Co-authors
The 16 scholars most cited alongside M.F. Tenorio, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 163 | |
| 2 | 1989 | 86 | |
| 3 | 1990 | 66 | |
| 4 | Self Organizing Neural Networks for the Identification Problem | 1988 | 25 |
| 5 | Mapping Production Systems into Multiprocessors. | 1985 | 24 |
| 6 | 1992 | 22 | |
| 7 | 1989 | 21 | |
| 8 | 2003 | 11 | |
| 9 | 1995 | 9 | |
| 10 | Self-Organizing Neural Network for Optimum Supervised Learning | 1989 | 9 |
| 11 | Generalized Hopfield Networks and Nonlinear Optimization | 1989 | 6 |
| 12 | 1994 | 5 | |
| 13 | The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN | 1989 | 4 |
| 14 | 1997 | 4 | |
| 15 | 1994 | 3 | |
| 16 | 1990 | 3 | |
| 17 | 2002 | 2 | |
| 18 | On Optimal Adaptive Classifier Design Criterion- How many hidden units are necessary for an optimal neural network classifier? | 1991 | 2 |
| 19 | 1993 | 2 | |
| 20 | 1992 | 2 |
About M.F. Tenorio
M.F. Tenorio is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 38 papers that have together received 487 indexed citations. Recurring topics across this work include Neural Networks and Applications (27 papers), Time Series Analysis and Forecasting (5 papers), Blind Source Separation Techniques (4 papers), Stock Market Forecasting Methods (4 papers), Neural Networks and Reservoir Computing (4 papers), Control Systems and Identification (3 papers), Fault Detection and Control Systems (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (337 citations), Control and Systems Engineering (225 citations), Signal Processing (55 citations), Software (12 citations) and Statistical and Nonlinear Physics (38 citations). M.F. Tenorio has collaborated with scholars based in United States and Brazil. Frequent co-authors include R. Shoureshi, Dan Moldovan, Gintaras V. Reklaitis, C.D. McGillem, Timothy Masters, Ghobad Heidari-Bateni, Wynne Hsu, Jun Lü, Frank P. Kuhl and Dominick Andrisani. Their work appears in journals such as Parallel Computing, International Journal of Neural Systems, IEEE Transactions on Education, Neural Computing and Applications and Remote Sensing Reviews.
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.