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Researcher · Instituto de Investigaciones Eléctricas · Mexico

Uriel A. García

Uriel A. García publishes mostly in Artificial Intelligence, Control and Systems Engineering and Organic Chemistry, on topics such as Fault Detection and Control Systems, Bayesian Modeling and Causal Inference and Energy Load and Power Forecasting.

ORCID 0000-0002-4138-7518 OpenAlex
World rank
#4,500,121
of 7,710,434 ranked researchers
Rank in Mexico
#17,951
of 55,557
Works
15
Citations
124
Citations per work
8.3
h-index
6
i10-index 3Top 74% in Artificial Intelligence
Uriel A. García

What does Uriel A. García research?

Uriel A. García's work is mostly in Engineering (39%), Computer Science (30%), Chemistry (14%).

Physical Sciences: 12 works · 81.8% of their workEngineering: 6 works · 38.7% of their workControl and Systems Engineering: 3 works · 20.5% of their workElectrical and Electronic Engineering: 2 works · 11.4% of their workOcean Engineering: 1 works · 6.8% of their workComputer Science: 4 works · 29.5% of their workArtificial Intelligence: 3 works · 22.7% of their workSignal Processing: 1 works · 6.8% of their workChemistry: 2 works · 13.6% of their workOrganic Chemistry: 2 works · 13.6% of their workEverything else: 3 works · 18.2% of their workTHEIR WORKUriel A. García15works
Physical Sciences82%

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. Engineering638.7%
    2. Computer Science429.5%
    3. Chemistry213.6%
  2. Everything else318.2%
  1. 1Artificial Intelligence23% of their works
  2. 2Control and Systems Engineering20% of their works
  3. 3Organic Chemistry14% of their works
  4. 4Electrical and Electronic Engineering11% of their works
  5. 5Ocean Engineering7% of their works
  6. 6Signal Processing7% of their works

Research topics

Which keywords describe Uriel A. García's research?

The keywords of their largest research topics: Deep Learning, Fault Detection, Process Monitoring, Bayesian Networks, Causal Inference, Electricity Price Forecasting, Enantioselective Synthesis and Load 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. 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 18 words, with their numbers
  1. Deep Learning62 topics
  2. Fault Detection51 topic
  3. Process Monitoring51 topic
  4. Bayesian Networks41 topic
  5. Causal Inference41 topic
  6. Electricity Price Forecasting41 topic
  7. Enantioselective Synthesis42 topics
  8. Load Forecasting41 topic
  9. Carbene Chemistry21 topic
  10. Clustering21 topic
  11. Concept Drift21 topic
  12. Cyclopropanation21 topic
  13. Data Streams21 topic
  14. Gold-Catalyzed Reactions21 topic
  15. Homogeneous Catalysis21 topic
  16. Model Predictive Control21 topic
  17. Optimization21 topic
  18. Time Series21 topic

Where does Uriel A. García work?

Uriel A. García's main affiliation in the publication record is Instituto de Investigaciones Eléctricas, Mexico.

How many publications and citations does Uriel A. García have?

OpenAlex counts 15 works and 124 citations for Uriel A. García, an h-index of 6, ranking #4,500,121 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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