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Researcher · University of Notre Dame · United States

John Patrick Lalor

John Patrick Lalor publishes mostly in Artificial Intelligence, General Health Professions and Health Information Management, on topics such as Topic Modeling, Health Literacy and Information Accessibility and Electronic Health Records Systems.

ORCID 0000-0003-0848-4786 OpenAlex
World rank
#1,241,142
of 7,710,434 ranked researchers
Rank in United States
#396,706
of 1,627,098
Works
64
Citations
513
Citations per work
8.0
h-index
14
i10-index 17Top 25% in Artificial Intelligence
John Patrick Lalor

What does John Patrick Lalor research?

John Patrick Lalor's work is mostly in Computer Science (49%), Health Professions (13%), Decision Sciences (5%).

Physical Sciences: 31 works · 48.8% of their workComputer Science: 31 works · 48.8% of their workArtificial Intelligence: 29 works · 45.4% of their workInformation Systems: 2 works · 3.4% of their workEverything else: 19 works · 29.4% of their workHealth Sciences: 8 works · 13.2% of their workHealth Professions: 8 works · 13.2% of their workGeneral Health Professions: 5 works · 8.0% of their workHealth Information Management: 3 works · 5.2% of their workSocial Sciences: 6 works · 8.6% of their workDecision Sciences: 3 works · 4.6% of their workManagement Science and Operations Research: 3 works · 4.6% of their workSocial Sciences: 3 works · 4.0% of their workSociology and Political Science: 3 works · 4.0% of their workTHEIR WORKJohn PatrickLalor64works
Physical Sciences49%Health Sciences13%Social Sciences9%

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 Science3148.8%
  2. Everything else1929.4%
    1. Health Professions813.2%
    1. Decision Sciences34.6%
    2. Social Sciences34.0%
  1. 1Artificial Intelligence45% of their works
  2. 2General Health Professions8% of their works
  3. 3Health Information Management5% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe John Patrick Lalor's research?

The keywords of their largest research topics: Neural Networks, Word Representation, eHealth, Health Literacy, Text Mining, Clinical Decision Support Systems, Electronic Health Records and Neural Machine Translation.

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.

All 17 words, with their numbers
  1. Neural Networks261 topic
  2. Word Representation261 topic
  3. Health Literacy91 topic
  4. Text Mining92 topics
  5. eHealth91 topic
  6. Clinical Decision Support Systems81 topic
  7. Electronic Health Records81 topic
  8. Neural Machine Translation71 topic
  9. Statistical Machine Translation71 topic
  10. Opinion Mining51 topic
  11. Sentiment Analysis51 topic
  12. Affective States41 topic
  13. Biomedical Literature41 topic
  14. Biomedical Ontologies41 topic
  15. Domain Adaptation41 topic
  16. Intelligent Tutoring Systems41 topic
  17. Transfer Learning41 topic

Where does John Patrick Lalor work?

John Patrick Lalor's main affiliation in the publication record is University of Notre Dame, United States.

How many publications and citations does John Patrick Lalor have?

OpenAlex counts 64 works and 513 citations for John Patrick Lalor, an h-index of 14, ranking #1,241,142 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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