M. Salgado
Impact in
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- Control Systems and Identification
- Advanced Control Systems Design
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
Papers in
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- Control Systems and Identification 5
- Advanced Control Systems Design 4
- Adaptive Control of Nonlinear Systems 3
- Stability and Control of Uncertain Systems 2
- Advanced Control Systems Optimization 2
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- AI-based Problem Solving and Planning 1
- Target Tracking and Data Fusion in Sensor Networks 1
- Co-authors
- Graham C. Goodwin (9 shared papers)Richard Hume Middleton (3 shared papers)Arie Feuer B (1 shared paper)Juan C. Agüero (1 shared paper)Juan I. Yuz (1 shared paper)Pablo Lezana (1 shared paper)Stephan Rees (1 shared paper)José Rodríguez (1 shared paper)
In The Last Decade
M. Salgado
12 papers receiving 512 citations
Peers
Comparison fields: 5 of 29
- Control and Systems Engineering 372
- Numerical Analysis 13
- Electrical and Electronic Engineering 105
- Computational Mechanics 30
- Automotive Engineering 9
Countries citing papers authored by M. Salgado
This map shows the geographic impact of M. Salgado'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. Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Salgado more than expected).
Fields of papers citing papers by M. Salgado
This network shows the impact of papers produced by M. Salgado. 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. Salgado. The network helps show where M. Salgado may publish in the future.
Co-authors
The 13 scholars most cited alongside M. Salgado, 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 | 1988 | 176 | |
| 2 | 2004 | 93 | |
| 3 | 1988 | 70 | |
| 4 | 1997 | 67 | |
| 5 | 2013 | 67 | |
| 6 | 1994 | 40 | |
| 7 | 1993 | 8 | |
| 8 | 1988 | 7 | |
| 9 | 1994 | 3 | |
| 10 | 1990 | 2 | |
| 11 | 1989 | 1 | |
| 12 | 2000 | 1 |
About M. Salgado
M. Salgado is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 12 papers that have together received 535 indexed citations. Recurring topics across this work include Control Systems and Identification (5 papers), Advanced Control Systems Design (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Stability and Control of Uncertain Systems (2 papers), Advanced Control Systems Optimization (2 papers), Multilevel Inverters and Converters (1 paper), AI-based Problem Solving and Planning (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Control and Systems Engineering (372 citations), Numerical Analysis (13 citations), Electrical and Electronic Engineering (105 citations), Computational Mechanics (30 citations) and Automotive Engineering (9 citations). M. Salgado has collaborated with scholars based in Australia, Chile and Germany. Frequent co-authors include Graham C. Goodwin, Richard Hume Middleton, Arie Feuer B, Juan C. Agüero, Juan I. Yuz, Pablo Lezana, Stephan Rees, José Rodríguez, Patricio Cortés and Jorge O. Pontt. Their work appears in journals such as IEEE Control Systems, International Journal of Control, Automatica, International Journal of Adaptive Control and Signal Processing and Electronics Letters.
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.