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Researcher · Viña del Mar University · Chile

Pablo Ormeño-Arriagada

Pablo Ormeño-Arriagada publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oral Surgery, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Dental Radiography and Imaging.

ORCID 0000-0001-5591-3518 OpenAlex
World rank
#3,439,568
of 7,710,434 ranked researchers
Rank in Chile
#7,598
of 20,642
Works
20
Citations
97
Citations per work
4.9
h-index
5
i10-index 1Top 82% in Artificial Intelligence
Pablo Ormeño-Arriagada

What does Pablo Ormeño-Arriagada research?

Pablo Ormeño-Arriagada's work is mostly in Computer Science (19%), Medicine (10%), Dentistry (5%).

Everything else: 12 works · 57.9% of their workPhysical Sciences: 4 works · 19.3% of their workComputer Science: 4 works · 19.3% of their workArtificial Intelligence: 4 works · 19.3% of their workHealth Sciences: 3 works · 15.8% of their workMedicine: 2 works · 10.5% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 7.0% of their workEpidemiology: 1 works · 3.5% of their workDentistry: 1 works · 5.3% of their workOral Surgery: 1 works · 5.3% of their workLife Sciences: 1 works · 3.5% of their workAgricultural and Biological Sciences: 1 works · 3.5% of their workPlant Science: 1 works · 3.5% of their workSocial Sciences: 1 works · 3.5% of their workSocial Sciences: 1 works · 3.5% of their workSociology and Political Science: 1 works · 3.5% of their workTHEIR WORKPabloOrmeño-Arriagada20works
Life Sciences4%Physical Sciences19%Health Sciences16%Social Sciences4%

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 else1257.9%
    1. Computer Science419.3%
    1. Medicine210.5%
    2. Dentistry15.3%
    1. Agricultural and Biological Sciences13.5%
    1. Social Sciences13.5%
  1. 1Artificial Intelligence19% of their works
  2. 2Radiology, Nuclear Medicine and Imaging7% of their works
  3. 3Oral Surgery5% of their works
  4. 4Sociology and Political Science4% of their works
  5. 5Epidemiology4% of their works
  6. 6Plant Science4% of their works

Research topics

Which keywords describe Pablo Ormeño-Arriagada's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Artificial Intelligence, Histopathology Images, Medical Image Analysis, Behavioral Analysis and COVID-19.

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 21 words, with their numbers
  1. Deep Learning134 topics
  2. Machine Learning114 topics
  3. Convolutional Neural Networks92 topics
  4. Artificial Intelligence72 topics
  5. Histopathology Images51 topic
  6. Medical Image Analysis51 topic
  7. Behavioral Analysis42 topics
  8. COVID-1941 topic
  9. Medical Imaging41 topic
  10. Cone-Beam CT31 topic
  11. Dental Imaging31 topic
  12. Android Malware21 topic
  13. Anomaly Detection21 topic
  14. Big Data Analytics21 topic
  15. Classification21 topic
  16. Detection21 topic
  17. Healthcare21 topic
  18. Imbalanced Data21 topic
  19. Phishing21 topic
  20. Spam Detection21 topic
  21. Unsupervised21 topic

Where does Pablo Ormeño-Arriagada work?

Pablo Ormeño-Arriagada's main affiliation in the publication record is Viña del Mar University, Chile.

How many publications and citations does Pablo Ormeño-Arriagada have?

OpenAlex counts 20 works and 97 citations for Pablo Ormeño-Arriagada, an h-index of 5, ranking #3,439,568 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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