Mario E. Salgado

2.1k total citations · 1 hit paper
34 papers, 1.6k citations indexed

About

Mario E. Salgado is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Mario E. Salgado has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 7 papers in Statistics, Probability and Uncertainty and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Mario E. Salgado's work include Control Systems and Identification (24 papers), Advanced Control Systems Optimization (19 papers) and Stability and Control of Uncertain Systems (11 papers). Mario E. Salgado is often cited by papers focused on Control Systems and Identification (24 papers), Advanced Control Systems Optimization (19 papers) and Stability and Control of Uncertain Systems (11 papers). Mario E. Salgado collaborates with scholars based in Chile, Australia and Spain. Mario E. Salgado's co-authors include Graham C. Goodwin, Stefan F. Graebe, Björn Wittenmark, Eduardo I. Silva, Brett Ninness, Juan I. Yuz, Richard H. Middleton, Diego A. Oyarzún, Juan C. Agüero and Carlos E. de Souza and has published in prestigious journals such as Automatica, Systems & Control Letters and International Journal of Control.

In The Last Decade

Mario E. Salgado

33 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Control System Design

2000 1.0k citations Graham C. Goodwin, Stefan F. Graebe et al. Prentice Hall PTR eBooks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mario E. Salgado Chile	11	1.2k	256	161	120	119	34	1.6k
Stefan F. Graebe Australia	11	1.2k 1.0×	244 1.0×	200 1.2×	57 0.5×	104 0.9×	22	1.6k
Mouhacine Benosman United States	20	1.4k 1.1×	219 0.9×	241 1.5×	111 0.9×	81 0.7×	96	1.7k
Peter M. Young United States	24	1.4k 1.1×	278 1.1×	178 1.1×	127 1.1×	114 1.0×	87	2.0k
Vincent Verdult Netherlands	16	1.4k 1.1×	225 0.9×	195 1.2×	105 0.9×	177 1.5×	43	1.9k
Xavier Bombois Netherlands	20	1.2k 1.0×	171 0.7×	67 0.4×	106 0.9×	169 1.4×	100	1.6k
Alexandre Trofino Brazil	24	2.0k 1.6×	210 0.8×	144 0.9×	75 0.6×	83 0.7×	113	2.3k
V. Cerone Italy	19	1.1k 0.9×	90 0.4×	108 0.7×	58 0.5×	107 0.9×	103	1.4k
Isaac Horowitz Israel	20	2.0k 1.7×	238 0.9×	259 1.6×	117 1.0×	60 0.5×	60	2.5k
Bahram Shafai United States	18	1.2k 1.0×	155 0.6×	178 1.1×	99 0.8×	144 1.2×	158	1.5k
S.R. Liberty United States	8	492 0.4×	232 0.9×	117 0.7×	56 0.5×	77 0.6×	24	896

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-authorship network of co-authors of Mario E. Salgado

This figure shows the co-authorship network connecting the top 25 collaborators of Mario E. Salgado. A scholar is included among the top collaborators of Mario E. Salgado based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario E. Salgado. Mario E. Salgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yuz, Juan I., et al.. (2013). Orthonormal basis functions applied to optimal control with pole location constraints. 4. 5131–5136. 3 indexed citations

Yuz, Juan I., et al.. (2011). Optimal control synthesis with prescribed closed loop poles. 108–113. 2 indexed citations

Goodwin, Graham C., Juan I. Yuz, Mario E. Salgado, & Juan C. Agüero. (2011). Variance or spectral density in sampled data filtering?. Journal of Global Optimization. 52(2). 335–351. 5 indexed citations

Silva, Eduardo I., et al.. (2011). On tracking performance limits for tall systems. IFAC Proceedings Volumes. 44(1). 11326–11331. 1 indexed citations

Salgado, Mario E., et al.. (2011). Optimal ripple-free deadbeat control using an integral of time squared error (ITSE) index. Automatica. 47(9). 2134–2137. 11 indexed citations

Salgado, Mario E. & Juan I. Yuz. (2009). Una medida de interacción multivariable en el dominio del tiempo y de la frecuencia. Revista Iberoamericana de Automática e Informática Industrial RIAI. 6(2). 17–25. 2 indexed citations

Salgado, Mario E., et al.. (2008). Performance bounds in linear control of unstable MIMO systems with pole location constraint. Systems & Control Letters. 57(5). 392–399. 10 indexed citations

Salgado, Mario E., Diego A. Oyarzún, & Eduardo I. Silva. (2007). H2 optimal ripple-free deadbeat controller design. Automatica. 43(11). 1961–1967. 11 indexed citations

Oyarzún, Diego A. & Mario E. Salgado. (2007). Optimal triangular approximation for linear stable multivariable systems. Proceedings of the ... American Control Conference. 5158–5163. 1 indexed citations

10.

Goodwin, Graham C., Juan I. Yuz, & Mario E. Salgado. (2007). Insights into the zero dynamics of sampled-data models for linear and nonlinear stochastic systems. 1167–1173. 4 indexed citations

11.

Salgado, Mario E. & Diego A. Oyarzún. (2006). Basic Integrated Modelling: A Case Study. International Journal of Electrical Engineering Education. 43(3). 217–231. 1 indexed citations

12.

Agüero, Juan C., Graham C. Goodwin, & Mario E. Salgado. (2005). ON THE OPTIMAL ESTIMATION OF ERRORS IN VARIABLES MODELS FOR ROBUST CONTROL. IFAC Proceedings Volumes. 38(1). 821–825. 9 indexed citations

13.

Goodwin, Graham C., Mario E. Salgado, & Eduardo I. Silva. (2005). Time-domain performance limitations arising from decentralized architectures and their relationship to the RGA. International Journal of Control. 78(13). 1045–1062. 20 indexed citations

14.

Salgado, Mario E. & Eduardo I. Silva. (2005). Robustness issues in optimal control of unstable plants. Systems & Control Letters. 55(2). 124–131. 6 indexed citations

15.

Salgado, Mario E., et al.. (2004). MIMO interaction measure and controller structure selection. International Journal of Control. 77(4). 367–383. 115 indexed citations

16.

Goodwin, Graham C., Stefan F. Graebe, & Mario E. Salgado. (2000). Control System Design. Prentice Hall PTR eBooks. 1033 indexed citations breakdown →

17.

Salgado, Mario E., Carlos E. de Souza, & Graham C. Goodwin. (1990). Qualitative aspects of the distribution of errors in least squares estimation. Automatica. 26(1). 97–101. 10 indexed citations

18.

Goodwin, Graham C., Mario E. Salgado, & Richard H. Middleton. (1989). Example applications of an integrated indirect adaptive design technique. International Journal of Adaptive Control and Signal Processing. 3(2). 143–154. 3 indexed citations

19.

Goodwin, Graham C. & Mario E. Salgado. (1989). A stochastic embedding approach for quantifying uncertainty in the estimation of restricted complexity models. International Journal of Adaptive Control and Signal Processing. 3(4). 333–356. 98 indexed citations

20.

Goodwin, Graham C., Mario E. Salgado, & Richard H. Middleton. (1988). Indirect Adaptive Control: An Integrated Approach. 2440–2445. 15 indexed citations

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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