M. Salgado

713 citations
16 papers · 574 · h-index 8

Impact in

    • Control Systems and Identification
    • Advanced Control Systems Optimization
    • Fault Detection and Control Systems
    • Stability and Control of Uncertain Systems
    • Microgrid Control and Optimization

Papers in

    • Control Systems and Identification 7
    • Advanced Control Systems Optimization 5
    • Fault Detection and Control Systems 4
    • Stability and Control of Uncertain Systems 2
    • Microgrid Control and Optimization 1
    • Target Tracking and Data Fusion in Sensor Networks 2

M. Salgado

15 papers receiving 549 citations

Peers

M. Salgado
Comparison fields: 5 of 58
  • Control and Systems Engineering 431
  • Numerical Analysis 29
  • Signal Processing 33
  • Artificial Intelligence 99
  • Statistics, Probability and Uncertainty 20
Replace Anders Hansson with:
Anders Hansson Sweden
I‐Kong Fong Taiwan
Yau‐Tarng Juang Taiwan
K. Kristinsson Canada
Songsong Cheng China
Hwan Il Kang South Korea
Dia Abualnadi Jordan
Andrija T. Sarić Serbia
Henry D'Angelo United States
F. De Bruyne Australia
M. Salgado relative to Anders Hansson Sweden Anders Hansson's profile →
Citations per field
00.5×1.5×2.2×
Anders Hansson · 1×
Citations per year

Countries citing papers authored by M. Salgado

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with M. Salgado Line = papers co-authored together M. Salgado links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1988174
2 200489
3 199769
4 201362
5 198857
6 198855
7 199440
8 19938
9 19887
10 20104
11 19943
12 19902
13 20242
14 20001
15 19891
16 20110

About M. Salgado

M. Salgado is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Mechanical Engineering and Computer Networks and Communications, having authored 16 papers that have together received 574 indexed citations. Recurring topics across this work include Control Systems and Identification (7 papers), Advanced Control Systems Optimization (5 papers), Fault Detection and Control Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Stability and Control of Uncertain Systems (2 papers), Microgrid Control and Optimization (1 paper), Drilling and Well Engineering (1 paper) and Advanced DC-DC Converters (1 paper). The work is most often cited by research in Control and Systems Engineering (431 citations), Numerical Analysis (29 citations), Signal Processing (33 citations), Artificial Intelligence (99 citations) and Statistics, Probability and Uncertainty (20 citations). M. Salgado has collaborated with scholars based in Australia, Chile and United States. Frequent co-authors include Graham C. Goodwin, Richard H. Middleton, Arie Feuer, Juan C. Agüero, Juan I. Yuz, J. Pontt, Ulrich Ammann, José Rodríguez, S. Rees and Pablo Lezana. Their work appears in journals such as International Journal of Control, IEEE Control Systems, Automatica, Electronics Letters and International Journal of Adaptive Control and Signal Processing.

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.

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