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Researcher · Tecnológico de Monterrey · Mexico

Gerardo Ibarra-Vázquez

Gerardo Ibarra-Vázquez publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, on topics such as Adversarial Robustness in Machine Learning, Visual Attention and Saliency Detection and Advanced Memory and Neural Computing.

ORCID 0000-0002-0782-5369 OpenAlex
World rank
#1,603,238
of 7,710,434 ranked researchers
Rank in Mexico
#3,939
of 55,557
Works
25
Citations
177
Citations per work
7.1
h-index
8
i10-index 6Top 56% in Artificial Intelligence
Gerardo Ibarra-Vázquez

What does Gerardo Ibarra-Vázquez research?

Gerardo Ibarra-Vázquez's work is mostly in Computer Science (46%), Neuroscience (7%), Social Sciences (7%).

Physical Sciences: 13 works · 51.4% of their workComputer Science: 11 works · 45.5% of their workArtificial Intelligence: 5 works · 19.1% of their workComputer Science Applications: 3 works · 13.2% of their workComputer Vision and Pattern Recognition: 3 works · 13.2% of their workEngineering: 1 works · 5.9% of their workElectrical and Electronic Engineering: 1 works · 5.9% of their workEverything else: 8 works · 33.8% of their workLife Sciences: 2 works · 7.4% of their workNeuroscience: 2 works · 7.4% of their workCognitive Neuroscience: 2 works · 7.4% of their workSocial Sciences: 2 works · 7.4% of their workSocial Sciences: 2 works · 7.4% of their workEducation: 2 works · 7.4% of their workTHEIR WORKGerardoIbarra-Vázquez25works
Life Sciences7%Physical Sciences51%Social Sciences7%

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. Computer Science1145.5%
    2. Engineering15.9%
  2. Everything else833.8%
    1. Neuroscience27.4%
    1. Social Sciences27.4%
  1. 1Artificial Intelligence19% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Computer Science Applications13% of their works
  4. 4Cognitive Neuroscience7% of their works
  5. 5Education7% of their works
  6. 6Electrical and Electronic Engineering6% of their works

Research topics

Which keywords describe Gerardo Ibarra-Vázquez's research?

The keywords of their largest research topics: Machine Learning, Neural Networks, Deep Learning, Adversarial Examples, Robustness, Memristor, Neuromorphic Computing and Saliency Detection.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Machine Learning144 topics
  2. Neural Networks143 topics
  3. Deep Learning123 topics
  4. Adversarial Examples61 topic
  5. Robustness61 topic
  6. Memristor41 topic
  7. Neuromorphic Computing41 topic
  8. Saliency Detection41 topic
  9. Visual Attention41 topic
  10. Classification31 topic
  11. Educational Data Mining31 topic
  12. Face Perception31 topic
  13. Genetic Programming31 topic
  14. Learning Analytics31 topic
  15. Neural Mechanisms31 topic
  16. Agricultural Research21 topic
  17. Bioimage Analysis21 topic
  18. Education21 topic
  19. High-Content Screening21 topic

Where does Gerardo Ibarra-Vázquez work?

Gerardo Ibarra-Vázquez's main affiliation in the publication record is Tecnológico de Monterrey, Mexico.

How many publications and citations does Gerardo Ibarra-Vázquez have?

OpenAlex counts 25 works and 177 citations for Gerardo Ibarra-Vázquez, an h-index of 8, ranking #1,603,238 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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