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Researcher · Arcada University of Applied Sciences · Finland

Leonardo Espinosa-Leal

Leonardo Espinosa-Leal publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering, on topics such as Machine Learning and ELM, Domain Adaptation and Few-Shot Learning and Additive Manufacturing and 3D Printing Technologies.

ORCID 0000-0001-6861-8024 OpenAlex
World rank
#3,181,391
of 7,710,434 ranked researchers
Rank in Finland
#19,125
of 37,370
Works
108
Citations
1.1k
Citations per work
10.1
h-index
19
i10-index 30Top 14% in Artificial Intelligence
Leonardo Espinosa-Leal

What does Leonardo Espinosa-Leal research?

Leonardo Espinosa-Leal's work is mostly in Computer Science (28%), Engineering (12%), Environmental Science (3%).

Everything else: 63 works · 58.0% of their workPhysical Sciences: 45 works · 42.0% of their workComputer Science: 30 works · 27.7% of their workArtificial Intelligence: 23 works · 20.9% of their workComputer Vision and Pattern Recognition: 7 works · 6.8% of their workEngineering: 13 works · 11.6% of their workCivil and Structural Engineering: 5 works · 4.8% of their workElectrical and Electronic Engineering: 4 works · 4.1% of their workMechanical Engineering: 3 works · 2.7% of their workEnvironmental Science: 3 works · 2.7% of their workGlobal and Planetary Change: 3 works · 2.7% of their workTHEIR WORKLeonardoEspinosa-Leal108works
Physical Sciences42%

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. Everything else6358.0%
    1. Computer Science3027.7%
    2. Engineering1311.6%
    3. Environmental Science32.7%
  1. 1Artificial Intelligence21% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Civil and Structural Engineering5% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Global and Planetary Change3% of their works
  6. 6Mechanical Engineering3% of their works

Research topics

Which keywords describe Leonardo Espinosa-Leal's research?

The keywords of their largest research topics: Neural Networks, Extreme Learning Machine, Feedforward Networks, Deep Learning, Domain Adaptation, Transfer Learning, 3D Printing and Additive Manufacturing.

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. Neural Networks253 topics
  2. Extreme Learning Machine171 topic
  3. Feedforward Networks171 topic
  4. Deep Learning82 topics
  5. Domain Adaptation71 topic
  6. Transfer Learning71 topic
  7. 3D Printing61 topic
  8. Additive Manufacturing61 topic
  9. DNA Structure41 topic
  10. DNA nanotechnology41 topic
  11. Electronic Health Records41 topic
  12. G-Quadruplexes41 topic
  13. Handwriting Recognition41 topic
  14. Healthcare41 topic
  15. Reinforcement Learning41 topic
  16. Robotics41 topic
  17. Self-Assembly41 topic
  18. Text Detection41 topic

Where does Leonardo Espinosa-Leal work?

Leonardo Espinosa-Leal's main affiliation in the publication record is Arcada University of Applied Sciences, Finland.

How many publications and citations does Leonardo Espinosa-Leal have?

OpenAlex counts 108 works and 1,091 citations for Leonardo Espinosa-Leal, an h-index of 19, ranking #3,181,391 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.

Discussion

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