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Researcher · Royal College of Surgeons in Ireland · Ireland

Finbarr P. Leacy

Finbarr P. Leacy publishes mostly in Statistics and Probability, Public Health, Environmental and Occupational Health and Psychiatry and Mental health, on topics such as Advanced Causal Inference Techniques, Maternal Mental Health During Pregnancy and Postpartum and Statistical Methods and Bayesian Inference.

ORCID 0000-0001-5561-485X OpenAlex
World rank
#1,085,965
of 7,710,434 ranked researchers
Rank in Ireland
#3,701
of 21,376
Works
36
Citations
1.6k
Citations per work
44.0
h-index
13
i10-index 13Top 39% in Statistics and Probability
Finbarr P. Leacy

What does Finbarr P. Leacy research?

Finbarr P. Leacy's work is mostly in Medicine (17%), Mathematics (16%), Environmental Science (6%).

Everything else: 18 works · 48.9% of their workPhysical Sciences: 8 works · 22.4% of their workMathematics: 6 works · 16.0% of their workStatistics and Probability: 6 works · 16.0% of their workEnvironmental Science: 2 works · 6.4% of their workHealth, Toxicology and Mutagenesis: 2 works · 6.4% of their workHealth Sciences: 6 works · 17.0% of their workMedicine: 6 works · 17.0% of their workPsychiatry and Mental health: 3 works · 8.5% of their workPublic Health, Environmental and Occupational Health: 3 works · 8.5% of their workSocial Sciences: 4 works · 11.7% of their workPsychology: 2 works · 6.4% of their workClinical Psychology: 2 works · 6.4% of their workEconomics, Econometrics and Finance: 2 works · 5.3% of their workEconomics and Econometrics: 2 works · 5.3% of their workTHEIR WORKFinbarr P. Leacy36works
Physical Sciences22%Health Sciences17%Social Sciences12%

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 else1848.9%
    1. Mathematics616.0%
    2. Environmental Science26.4%
    1. Medicine617.0%
    1. Psychology26.4%
    2. Economics, Econometrics and Finance25.3%
  1. 1Statistics and Probability16% of their works
  2. 2Public Health, Environmental and Occupational Health8% of their works
  3. 3Psychiatry and Mental health8% of their works
  4. 4Health, Toxicology and Mutagenesis6% of their works
  5. 5Clinical Psychology6% of their works
  6. 6Economics and Econometrics5% of their works

Research topics

Which keywords describe Finbarr P. Leacy's research?

The keywords of their largest research topics: Depression, Causal Inference, Maternal Mental Health, Perinatal Depression, Propensity Score, Bayesian Modeling, Multiple Imputation and Brain.

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. Depression82 topics
  2. Causal Inference61 topic
  3. Maternal Mental Health61 topic
  4. Perinatal Depression61 topic
  5. Propensity Score61 topic
  6. Bayesian Modeling51 topic
  7. Multiple Imputation51 topic
  8. Brain41 topic
  9. Cost-effectiveness Analysis41 topic
  10. Emotion Regulation41 topic
  11. Environmental Exposure41 topic
  12. Exposome41 topic
  13. Psychopathology41 topic
  14. Quality of Life41 topic
  15. Stress41 topic
  16. Regularization31 topic
  17. Variable Selection31 topic

Where does Finbarr P. Leacy work?

Finbarr P. Leacy's main affiliation in the publication record is Royal College of Surgeons in Ireland, Ireland.

How many publications and citations does Finbarr P. Leacy have?

OpenAlex counts 36 works and 1,583 citations for Finbarr P. Leacy, an h-index of 13, ranking #1,085,965 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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