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Researcher · Marist University · United States

Eitel J. M. Lauría

Eitel J. M. Lauría publishes mostly in Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, on topics such as Online Learning and Analytics, Technology Adoption and User Behaviour and Bayesian Modeling and Causal Inference.

ORCID 0000-0003-3079-3657 OpenAlex
World rank
#1,403,063
of 7,710,434 ranked researchers
Rank in United States
#443,060
of 1,627,098
Works
48
Citations
936
Citations per work
19.5
h-index
11
i10-index 11Top 37% in Artificial Intelligence
Eitel J. M. Lauría

What does Eitel J. M. Lauría research?

Eitel J. M. Lauría's work is mostly in Computer Science (51%), Social Sciences (7%), Decision Sciences (6%).

Physical Sciences: 24 works · 50.9% of their workComputer Science: 24 works · 50.9% of their workArtificial Intelligence: 11 works · 22.7% of their workComputer Science Applications: 7 works · 13.6% of their workComputer Networks and Communications: 4 works · 7.3% of their workInformation Systems: 4 works · 7.3% of their workEverything else: 17 works · 35.4% of their workSocial Sciences: 7 works · 13.7% of their workSocial Sciences: 4 works · 7.3% of their workEducation: 4 works · 7.3% of their workDecision Sciences: 3 works · 6.4% of their workInformation Systems and Management: 3 works · 6.4% of their workTHEIR WORKEitel J. M.Lauría48works
Physical Sciences51%Social Sciences14%

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 Science2450.9%
  2. Everything else1735.4%
    1. Social Sciences47.3%
    2. Decision Sciences36.4%
  1. 1Artificial Intelligence23% of their works
  2. 2Computer Science Applications14% of their works
  3. 3Computer Networks and Communications7% of their works
  4. 4Information Systems7% of their works
  5. 5Education7% of their works
  6. 6Information Systems and Management6% of their works

Research topics

Which keywords describe Eitel J. M. Lauría's research?

The keywords of their largest research topics: Machine Learning, Educational Data Mining, Learning Analytics, Anomaly Detection, Data Mining, Information Systems, Technology Acceptance Model and Bayesian Networks.

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 Learning203 topics
  2. Educational Data Mining131 topic
  3. Learning Analytics131 topic
  4. Anomaly Detection72 topics
  5. Data Mining72 topics
  6. Information Systems71 topic
  7. Technology Acceptance Model71 topic
  8. Bayesian Networks51 topic
  9. Causal Inference51 topic
  10. Association Rules41 topic
  11. Data Cleaning41 topic
  12. Frequent Patterns41 topic
  13. Log Analysis41 topic
  14. Performance Prediction41 topic
  15. Record Linkage41 topic
  16. Classification31 topic
  17. Imbalanced Data31 topic
  18. Intrusion Detection31 topic
  19. Network Security31 topic

Where does Eitel J. M. Lauría work?

Eitel J. M. Lauría's main affiliation in the publication record is Marist University, United States.

How many publications and citations does Eitel J. M. Lauría have?

OpenAlex counts 48 works and 936 citations for Eitel J. M. Lauría, an h-index of 11, ranking #1,403,063 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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