R. Garrido

115 papers receiving 1.6k citations

Peers

R. Garrido
Comparison fields: 5 of 105
  • Control and Systems Engineering 1.1k
  • Mechanical Engineering 330
  • Electrical and Electronic Engineering 245
  • Computer Networks and Communications 174
  • Artificial Intelligence 156
Replace Kang‐Zhi Liu with:
Kang‐Zhi Liu Japan
Mouhacine Benosman United States
Leonid B. Freidovich Sweden
Yang Tian China
Shyam Kamal India
S. Hassan HosseinNia Netherlands
Krishna Busawon United Kingdom
Mario E. Salgado Chile
Joaquín Carrasco United Kingdom
Xiuyu He China
R. Garrido relative to Kang‐Zhi Liu Japan Kang‐Zhi Liu's profile →
Citations per field
00.5×3.6×
Kang‐Zhi Liu · 1×
Citations per year

Countries citing papers authored by R. Garrido

Since Specialization
Citations

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

Fields of papers citing papers by R. Garrido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Garrido. 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 R. Garrido. The network helps show where R. Garrido may publish in the future.

Co-authorship network of co-authors of R. Garrido

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 0
4 0
5 19
6 2
7 5
8 46
9 5
10 134
11 12
12 3
13 35
14
Civil-Comp Proceedings
9
15
Nonlinear restoring force estimation in civil structures using a high gain observer
3
16
Control-oriented modeling of an electrically actuated piston: an object-oriented approach
1
17
2004 5th Asian Control Conference
263
18
Neuro-control adaptable para un motor CD
0
19 7
20
Red neuronal recurrente para identificación y control de sistemas no lineales
0

About R. Garrido

R. Garrido is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (40 papers), Iterative Learning Control Systems (36 papers) and Control Systems and Identification (24 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Mechanical Engineering (330 citations) and Statistical and Nonlinear Physics (100 citations). R. Garrido has collaborated with scholars based in Mexico, United States and France. Frequent co-authors include Sabine Mondié, Adrián Ramírez, H. Sira‐Ramírez, Rafael Martínez‐Guerra, Juan Carlos Martínez‐García, Mario Ramírez‐Neria, Alberto Luviano‐Juárez, Rifat Sipahi, Ricardo Femat and José Álvarez‐Ramírez. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

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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