Gabriel Ortiz

38 papers receiving 2.4k citations

Hit Papers

Model Predictive Control of an Inverter With Output $LC$ ...20092026201420202009100200300400500

Peers

Gabriel Ortiz
Comparison fields: 5 of 55
  • Electrical and Electronic Engineering 2.3k
  • Control and Systems Engineering 875
  • Mechanical Engineering 195
  • Automotive Engineering 152
  • Electronic, Optical and Magnetic Materials 116
Replace Zhan Ma with:
Zhan Ma China
Ju-Won Baek South Korea
J. Díaz Spain
Jiří Drápela Czechia
Siyang Yu China
E. Sanchis-Kilders Spain
Douglas C. Hopkins United States
Shan Yin China
Gabriel Ortiz relative to Zhan Ma China Zhan Ma's profile →
Citations per field
00.5×20×40×60×78.3×
Zhan Ma · 1×
Citations per year

Countries citing papers authored by Gabriel Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Ortiz

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Ortiz. A scholar is included among the top collaborators of Gabriel Ortiz 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 Gabriel Ortiz. Gabriel Ortiz 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 0
2
MVDC Applications and Technology
13
3 7
4 226
5 12
6 6
7
Solid-State Transformers
4
8
Solid-State-Transformers: Key Components of Future Traction and Smart Grid Systems
152
9 59
10
Solid-State Transformers in Future Traction and Smart Grids
5
11 110
12
Solid State Transformer Concepts in Traction and Smart Grid Applications
32
13 10
14 54
15 25
16 70
17 2
18 6
19 7
20
Model Predictive Control of an Inverter With Output $LC$ Filter for UPS Applicationsbreakdown →
528

About Gabriel Ortiz

Gabriel Ortiz is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (24 papers), Silicon Carbide Semiconductor Technologies (23 papers) and Multilevel Inverters and Converters (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.3k citations), Control and Systems Engineering (875 citations) and Energy Engineering and Power Technology (47 citations). Gabriel Ortiz has collaborated with scholars based in Switzerland, Chile and United States. Frequent co-authors include Johann W. Kolar, Michael Leibl, J. Biela, Dominik Bortis, Pablo Lezana, José Rodríguez, O. Apeldoorn, Leopoldo G. Franquelo, Juan I. Yuz and Patricio Cortés. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.

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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