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Researcher · Virginia Tech · United States

Marcos Netto

Marcos Netto publishes mostly in Electrical and Electronic Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics, on topics such as Power System Optimization and Stability, Model Reduction and Neural Networks and Energy Load and Power Forecasting.

ORCID 0000-0001-7002-3345 OpenAlex
World rank
#1,373,951
of 7,710,434 ranked researchers
Rank in United States
#434,736
of 1,627,098
Works
42
Citations
2.2k
Citations per work
52.4
h-index
14
i10-index 16Top 33% in Electrical and Electronic Engineering
Marcos Netto

What does Marcos Netto research?

Marcos Netto's work is mostly in Engineering (62%), Physics and Astronomy (12%), Computer Science (8%).

Physical Sciences: 34 works · 81.2% of their workEngineering: 26 works · 61.5% of their workElectrical and Electronic Engineering: 14 works · 32.8% of their workControl and Systems Engineering: 9 works · 22.1% of their workCivil and Structural Engineering: 1 works · 3.3% of their workComputational Mechanics: 1 works · 3.3% of their workPhysics and Astronomy: 5 works · 11.5% of their workStatistical and Nonlinear Physics: 5 works · 11.5% of their workComputer Science: 3 works · 8.2% of their workArtificial Intelligence: 3 works · 8.2% of their workEverything else: 8 works · 18.8% of their workTHEIR WORKMarcos Netto42works
Physical Sciences81%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering2661.5%
    2. Physics and Astronomy511.5%
    3. Computer Science38.2%
  2. Everything else818.8%
  1. 1Electrical and Electronic Engineering33% of their works
  2. 2Control and Systems Engineering22% of their works
  3. 3Statistical and Nonlinear Physics12% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Civil and Structural Engineering3% of their works

Research topics

Which keywords describe Marcos Netto's research?

The keywords of their largest research topics: Deep Learning, Phasor Measurement Units, Power System Stability, Machine Learning, Model Reduction, Partial Differential Equations, Renewable Energy and Electricity Price Forecasting.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Deep Learning182 topics
  2. Phasor Measurement Units181 topic
  3. Power System Stability181 topic
  4. Machine Learning172 topics
  5. Model Reduction121 topic
  6. Partial Differential Equations121 topic
  7. Renewable Energy112 topics
  8. Electricity Price Forecasting61 topic
  9. Load Forecasting61 topic
  10. Distributed Generation51 topic
  11. Fault Detection51 topic
  12. Nonlinear Estimation51 topic
  13. Optimal Power Flow51 topic
  14. Particle Filters51 topic
  15. Process Monitoring51 topic
  16. Flow Control41 topic
  17. Vibration-based Damage Identification41 topic
  18. Vortex-Induced Vibrations41 topic
  19. Wireless Sensors41 topic

Where does Marcos Netto work?

Marcos Netto's main affiliation in the publication record is Virginia Tech, United States.

How many publications and citations does Marcos Netto have?

OpenAlex counts 42 works and 2,201 citations for Marcos Netto, an h-index of 14, ranking #1,373,951 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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