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Researcher · University of Warwick · United Kingdom

Fabio Rigat

Fabio Rigat publishes mostly in Statistics and Probability, Epidemiology and Artificial Intelligence, on topics such as Pneumonia and Respiratory Infections, Bayesian Methods and Mixture Models and Statistical Methods in Clinical Trials.

ORCID 0000-0001-7904-3019 OpenAlex
World rank
#1,785,656
of 7,710,434 ranked researchers
Rank in United Kingdom
#133,538
of 367,258
Works
49
Citations
1.3k
Citations per work
26.8
h-index
15
i10-index 17Top 33% in Statistics and Probability
Fabio Rigat

What does Fabio Rigat research?

Fabio Rigat's work is mostly in Medicine (20%), Mathematics (19%), Computer Science (10%).

Everything else: 19 works · 39.5% of their workPhysical Sciences: 14 works · 29.1% of their workMathematics: 10 works · 19.4% of their workStatistics and Probability: 10 works · 19.4% of their workComputer Science: 5 works · 9.7% of their workArtificial Intelligence: 5 works · 9.7% of their workHealth Sciences: 10 works · 20.2% of their workMedicine: 10 works · 20.2% of their workEpidemiology: 7 works · 14.2% of their workPublic Health, Environmental and Occupational Health: 3 works · 6.0% of their workLife Sciences: 5 works · 11.2% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 6.7% of their workMolecular Biology: 3 works · 6.7% of their workImmunology and Microbiology: 2 works · 4.5% of their workMicrobiology: 2 works · 4.5% of their workTHEIR WORKFabio Rigat49works
Life Sciences11%Physical Sciences29%Health Sciences20%

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 else1939.5%
    1. Mathematics1019.4%
    2. Computer Science59.7%
    1. Medicine1020.2%
    1. Biochemistry, Genetics and Molecular Biology36.7%
    2. Immunology and Microbiology24.5%
  1. 1Statistics and Probability19% of their works
  2. 2Epidemiology14% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Molecular Biology7% of their works
  5. 5Public Health, Environmental and Occupational Health6% of their works
  6. 6Microbiology4% of their works

Research topics

Which keywords describe Fabio Rigat's research?

The keywords of their largest research topics: Epidemiology, Bayesian Methods, Community-Acquired Pneumonia, Pneumococcal Conjugate Vaccine, Clustering, Mixture Models, Adaptive Designs and False Discovery Rate.

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 18 words, with their numbers
  1. Epidemiology152 topics
  2. Bayesian Methods132 topics
  3. Community-Acquired Pneumonia101 topic
  4. Pneumococcal Conjugate Vaccine101 topic
  5. Clustering81 topic
  6. Mixture Models81 topic
  7. Adaptive Designs71 topic
  8. False Discovery Rate71 topic
  9. Bayesian Modeling61 topic
  10. Group B Streptococcus61 topic
  11. Multiple Imputation61 topic
  12. Neonatal Sepsis61 topic
  13. Regularization61 topic
  14. Variable Selection61 topic
  15. Bacterial Meningitis51 topic
  16. Cost-effectiveness Analysis51 topic
  17. Neisseria meningitidis51 topic
  18. Quality of Life51 topic

Where does Fabio Rigat work?

Fabio Rigat's main affiliation in the publication record is University of Warwick, United Kingdom.

How many publications and citations does Fabio Rigat have?

OpenAlex counts 49 works and 1,312 citations for Fabio Rigat, an h-index of 15, ranking #1,785,656 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.

Discussion

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