Mario E. Salgado

2.1k citations
36 papers · 1.7k · 1 hit paper · h-index 10

Impact in

Papers in

Mario E. Salgado

35 papers receiving 1.6k citations

Mario E. Salgado's Hit Papers

Control System Design 2000 · 1.1k citations
1.1k0+8+17Years since publication2505007501k

Peers

Mario E. Salgado
Comparison fields: 5 of 76
  • Control and Systems Engineering 1.2k
  • Energy Engineering and Power Technology 13
  • Electrical and Electronic Engineering 186
  • Artificial Intelligence 98
  • Aerospace Engineering 64
Replace Stefan F. Graebe with:
Stefan F. Graebe Australia
Francisco Gordillo Spain
Constantine H. Houpis United States
Stanley R. Liberty United States
Katsuhiko Ogata United States
Ramachendra P. Batni United States
Alexandre Sanfelice Bazanella Brazil
Morten Hovd Norway
Zhicheng Ji China
Mario E. Salgado relative to Stefan F. Graebe Australia Stefan F. Graebe's profile →
Citations per field
00.5×1.5×
Stefan F. Graebe · 1×
Citations per year

Countries citing papers authored by Mario E. Salgado

Since Specialization
Citations

This map shows the geographic impact of Mario E. 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 Mario E. Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario E. Salgado more than expected).

Fields of papers citing papers by Mario E. Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario E. 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 Mario E. Salgado. The network helps show where Mario E. Salgado may publish in the future.

Co-authors

The 14 scholars most cited alongside Mario E. 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 Mario E. Salgado Line = papers co-authored together Mario E. Salgado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Control System Design
Hit paper breakdown →
20001089
2 2004116
3 1989104
4 200285
5 199076
6 198935
7 200523
8 198818
9 201113
10 200711
11 199010
12 200810
13 20059
14 20058
15 20057
16 20117
17 20075
18 20115
19 20074
20 20114

About Mario E. Salgado

Mario E. Salgado is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Media Technology, Statistics and Probability and Artificial Intelligence, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Control Systems Design (22 papers), Control Systems and Identification (16 papers), Advanced Control Systems Optimization (16 papers), Stability and Control of Uncertain Systems (6 papers), Adaptive Control of Nonlinear Systems (2 papers), Probabilistic and Robust Engineering Design (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Experimental Learning in Engineering (1 paper). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Energy Engineering and Power Technology (13 citations), Electrical and Electronic Engineering (186 citations), Artificial Intelligence (98 citations) and Aerospace Engineering (64 citations). Mario E. Salgado has collaborated with scholars based in Chile, Australia and Spain. Frequent co-authors include Graham C. Goodwin, Stefan F. Graebe, Björn Wittenmark, Eduardo I. Silva, Brett M. Ninness, Juan I. Yuz, Diego A. Oyarzún, Richard Hume Middleton, Juan C. Agüero and Carlos E. de Souza. Their work appears in journals such as Automatica, International Journal of Control, International Journal of Adaptive Control and Signal Processing, Systems & Control Letters and Journal of Global Optimization.

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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