Science Explorer Back to mapMap
Discussion
Researcher · Universidad Politécnica de Madrid · Spain

Esteban Ferrer Vaccarezza

Esteban Ferrer Vaccarezza publishes mostly in Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics, on topics such as Model Reduction and Neural Networks, Computational Fluid Dynamics and Aerodynamics and Advanced Numerical Methods in Computational Mathematics.

OpenAlex
World rank
#6,569,892
of 7,710,434 ranked researchers
Rank in Spain
#162,302
of 204,306
Works
19
Citations
1
Citations per work
0.1
h-index
1
i10-index 0Top 99.5% in Computational Mechanics
Esteban Ferrer Vaccarezza

What does Esteban Ferrer Vaccarezza research?

Esteban Ferrer Vaccarezza's work is mostly in Engineering (53%), Physics and Astronomy (20%), Materials Science (2%).

Physical Sciences: 14 works · 75.6% of their workEngineering: 10 works · 53.4% of their workComputational Mechanics: 5 works · 28.9% of their workAerospace Engineering: 3 works · 17.8% of their workElectrical and Electronic Engineering: 1 works · 6.7% of their workPhysics and Astronomy: 4 works · 20.0% of their workStatistical and Nonlinear Physics: 3 works · 13.3% of their workNuclear and High Energy Physics: 1 works · 6.7% of their workMaterials Science: 0 works · 2.2% of their workMaterials Chemistry: 0 works · 2.2% of their workEverything else: 5 works · 24.4% of their workTHEIR WORKEsteban FerrerVaccarezza19works
Physical Sciences76%

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. Engineering1053.4%
    2. Physics and Astronomy420.0%
    3. Materials Science02.2%
  2. Everything else524.4%
  1. 1Computational Mechanics29% of their works
  2. 2Aerospace Engineering18% of their works
  3. 3Statistical and Nonlinear Physics13% of their works
  4. 4Electrical and Electronic Engineering7% of their works
  5. 5Nuclear and High Energy Physics7% of their works
  6. 6Materials Chemistry2% of their works

Research topics

Which keywords describe Esteban Ferrer Vaccarezza's research?

The keywords of their largest research topics: Adaptive Mesh Refinement, High-Order Schemes, Deep Learning, Partial Differential Equations, Finite Element Methods, Fluid-Structure Interaction, Shock-Wave Interactions and Turbulence Modeling.

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 18 words, with their numbers
  1. Adaptive Mesh Refinement102 topics
  2. High-Order Schemes102 topics
  3. Deep Learning61 topic
  4. Partial Differential Equations61 topic
  5. Finite Element Methods51 topic
  6. Fluid-Structure Interaction51 topic
  7. Shock-Wave Interactions51 topic
  8. Turbulence Modeling51 topic
  9. Jet Noise31 topic
  10. Negative Ion Sources31 topic
  11. Superconducting Cavities31 topic
  12. Tokamak31 topic
  13. Turbulence31 topic
  14. Turbulent Flow31 topic
  15. Renewable Energy21 topic
  16. Wind Turbine Wakes21 topic
  17. Cryo-Electron Microscopy11 topic
  18. Single-Particle Analysis11 topic

Where does Esteban Ferrer Vaccarezza work?

Esteban Ferrer Vaccarezza's main affiliation in the publication record is Universidad Politécnica de Madrid, Spain.

How many publications and citations does Esteban Ferrer Vaccarezza have?

OpenAlex counts 19 works and 1 citations for Esteban Ferrer Vaccarezza, an h-index of 1, ranking #6,569,892 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.

Discussion

Ask a question or share a note about Esteban Ferrer Vaccarezza. Posts are plain text and can be reported.