M. Salgado

708 total citations
14 papers, 532 citations indexed

About

M. Salgado is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, M. Salgado has authored 14 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in M. Salgado's work include Control Systems and Identification (6 papers), Advanced Control Systems Optimization (4 papers) and Fault Detection and Control Systems (4 papers). M. Salgado is often cited by papers focused on Control Systems and Identification (6 papers), Advanced Control Systems Optimization (4 papers) and Fault Detection and Control Systems (4 papers). M. Salgado collaborates with scholars based in Australia, Chile and United States. M. Salgado's co-authors include Graham C. Goodwin, Richard H. Middleton, Arie Feuer, Juan I. Yuz, Juan C. Agüero, Ulrich Ammann, Pablo Lezana, José Rodríguez, Patricio Cortés and S. Rees and has published in prestigious journals such as Automatica, Electronics Letters and International Journal of Control.

In The Last Decade

M. Salgado

13 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Salgado Australia 8 405 117 88 42 38 14 532
Anders Hansson Sweden 13 336 0.8× 93 0.8× 54 0.6× 34 0.8× 80 2.1× 44 498
I‐Kong Fong Taiwan 12 362 0.9× 120 1.0× 37 0.4× 20 0.5× 88 2.3× 48 515
F.J. Kraus Switzerland 13 615 1.5× 56 0.5× 84 1.0× 32 0.8× 43 1.1× 54 790
Richard S. Marleau United States 5 173 0.4× 34 0.3× 53 0.6× 38 0.9× 17 0.4× 12 325
Zhuquan Zang Australia 14 350 0.9× 151 1.3× 18 0.2× 81 1.9× 68 1.8× 54 574
K. Kristinsson Canada 5 271 0.7× 42 0.4× 165 1.9× 38 0.9× 11 0.3× 9 458
Mohammed M’Saad France 14 509 1.3× 107 0.9× 78 0.9× 34 0.8× 116 3.1× 33 667
Yau‐Tarng Juang Taiwan 14 443 1.1× 46 0.4× 165 1.9× 9 0.2× 47 1.2× 55 634
George A. Perdikaris United States 3 367 0.9× 79 0.7× 40 0.5× 16 0.4× 78 2.1× 8 527
Anders Hansson Sweden 14 555 1.4× 88 0.8× 41 0.5× 99 2.4× 56 1.5× 75 756

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-authorship network of co-authors of M. Salgado

This figure shows the co-authorship network connecting the top 25 collaborators of M. Salgado. A scholar is included among the top collaborators of M. 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 M. Salgado. M. Salgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Goodwin, Graham C., et al.. (2013). Sampling and Sampled-Data Models: The Interface Between the Continuous World and Digital Algorithms. IEEE Control Systems. 33(5). 34–53. 60 indexed citations
3.
Staron, Peter, Felix Beckmann, Thomas C. Lippmann, et al.. (2011). <i>In Situ</i> Studies of Light Metals with Synchrotron Radiation and Neutrons. Materials science forum. 690. 192–197.
4.
Rodríguez, José, J. Pontt, César Silva, et al.. (2004). Predictive control of three-phase inverter. Electronics Letters. 40(9). 561–563. 88 indexed citations
5.
Salgado, M., et al.. (2000). Regulation by tables. Automatica. 36(6). 815–829. 1 indexed citations
6.
Feuer, Arie, Graham C. Goodwin, & M. Salgado. (1997). Potential benefits of hybrid control for linear time invariant plants. 2790–2794 vol.5. 66 indexed citations
7.
Salgado, M., et al.. (1994). Logarithmic root loci for continuous-time loops. IEEE Control Systems. 14(2). 47–52. 3 indexed citations
8.
Goodwin, Graham C. & M. Salgado. (1994). Frequency domain sensitivity functions for continuous time systems under sampled data control. Automatica. 30(8). 1263–1270. 39 indexed citations
9.
Goodwin, Graham C., et al.. (1993). Iterative algorithm for robust performance optimization. International Journal of Control. 57(4). 799–815. 7 indexed citations
10.
Goodwin, Graham C., et al.. (1990). Illustration of an integrated approach to adaptive control. International Journal of Adaptive Control and Signal Processing. 4(2). 149–162. 2 indexed citations
11.
Goodwin, Graham C., et al.. (1989). Illustration of an Integrated Approach to Adaptive Control. 449–454. 1 indexed citations
12.
Salgado, M., Richard H. Middleton, & Graham C. Goodwin. (1988). Connection between continuous and discrete Riccati equations with applications to kalman filtering. IEE Proceedings D Control Theory and Applications. 135(1). 28–28. 53 indexed citations
13.
Salgado, M., Graham C. Goodwin, & Richard H. Middleton. (1988). Modified least squares algorithm incorporating exponential resetting and forgetting. International Journal of Control. 47(2). 477–491. 159 indexed citations
14.
Salgado, M., Richard H. Middleton, & Graham C. Goodwin. (1988). Connection between continuous and discrete Riccati equations with applications to kalman filtering. 135(1). 28–34. 51 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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