Alberto Luviano‐Juárez

2.1k citations
111 papers · 1.5k indexed · h-index 20
Topics
Adaptive Control of Nonlinear Systems (60 papers)Iterative Learning Control Systems (19 papers)Advanced Control Systems Optimization (15 papers)
Partner nations
MexicoColombiaSpain

In The Last Decade

Alberto Luviano‐Juárez

100 papers receiving 1.5k citations

Peers

Alberto Luviano‐Juárez
Comparison fields: 5 of 98
  • Control and Systems Engineering 1.1k
  • Electrical and Electronic Engineering 365
  • Mechanical Engineering 283
  • Aerospace Engineering 146
  • Biomedical Engineering 137
Replace Matteo Rubagotti with:
Matteo Rubagotti Kazakhstan
Ken Chen China
Gian Paolo Incremona Italy
R. Garrido Mexico
Man Hyung Lee South Korea
Byung Kook Kim South Korea
Michael L. McIntyre United States
Aidan O’Dwyer Ireland
Dianwei Qian China
Feng Xu China
Alberto Luviano‐Juárez relative to Matteo Rubagotti Kazakhstan Matteo Rubagotti's profile →
Citations per field
00.5×1.7×
Matteo Rubagotti · 1×
Citations per year

Countries citing papers authored by Alberto Luviano‐Juárez

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Luviano‐Juárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Luviano‐Juárez. 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 Alberto Luviano‐Juárez. The network helps show where Alberto Luviano‐Juárez may publish in the future.

Co-authorship network of co-authors of Alberto Luviano‐Juárez

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Luviano‐Juárez. A scholar is included among the top collaborators of Alberto Luviano‐Juárez 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 Alberto Luviano‐Juárez. Alberto Luviano‐Juárez 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 1
2 3
3 4
4 10
5 0
6 0
7 3
8 6
9 9
10 1
11 8
12 8
13 13
14 19
15 9
16 5
17 42
18 5
19 12
20 134

About Alberto Luviano‐Juárez

Alberto Luviano‐Juárez is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Human-Computer Interaction, having authored 111 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (60 papers), Iterative Learning Control Systems (19 papers) and Advanced Control Systems Optimization (15 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Automotive Engineering (97 citations) and Mechanical Engineering (283 citations). Alberto Luviano‐Juárez has collaborated with scholars based in Mexico, Colombia and Spain. Frequent co-authors include H. Sira‐Ramírez, Mario Ramírez‐Neria, John Cortés‐Romero, Isaac Chaírez, R. Garrido, Eric William Zurita-Bustamante, Carlos García‐Rodríguez, Octavio Gutiérrez-Frías, Mario E. Rivero-Ángeles and Zhiqiang Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Energy Conversion and Management.

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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