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Researcher · University of Pavia · Italy

Igor Pruenster

Igor Pruenster publishes mostly in Statistics and Probability, Artificial Intelligence and Mathematical Physics, on topics such as Bayesian Methods and Mixture Models, Statistical Methods and Inference and Statistical Methods and Bayesian Inference.

ORCID 0000-0003-2860-1476 OpenAlex
World rank
#5,720,424
of 7,710,434 ranked researchers
Rank in Italy
#190,802
of 242,206
Works
37
Citations
118
Citations per work
3.2
h-index
7
i10-index 5Top 73% in Statistics and Probability
Igor Pruenster

What does Igor Pruenster research?

Igor Pruenster's work is mostly in Mathematics (48%), Computer Science (30%), Decision Sciences (4%).

Physical Sciences: 29 works · 77.2% of their workMathematics: 18 works · 47.7% of their workStatistics and Probability: 14 works · 38.6% of their workMathematical Physics: 3 works · 9.1% of their workComputer Science: 11 works · 29.5% of their workArtificial Intelligence: 11 works · 29.5% of their workEverything else: 5 works · 12.6% of their workSocial Sciences: 3 works · 7.9% of their workDecision Sciences: 2 works · 4.5% of their workManagement Science and Operations Research: 2 works · 4.5% of their workEconomics, Econometrics and Finance: 1 works · 3.4% of their workFinance: 1 works · 3.4% of their workLife Sciences: 1 works · 2.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.3% of their workGenetics: 1 works · 2.3% of their workTHEIR WORKIgor Pruenster37works
Life Sciences2%Physical Sciences77%Social Sciences8%

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. Mathematics1847.7%
    2. Computer Science1129.5%
  2. Everything else512.6%
    1. Decision Sciences24.5%
    2. Economics, Econometrics and Finance13.4%
    1. Biochemistry, Genetics and Molecular Biology12.3%
  1. 1Statistics and Probability39% of their works
  2. 2Artificial Intelligence30% of their works
  3. 3Mathematical Physics9% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Finance3% of their works
  6. 6Genetics2% of their works

Research topics

Which keywords describe Igor Pruenster's research?

The keywords of their largest research topics: Mixture Models, Bayesian Inference, Clustering, Model Selection, Regularization, Variable Selection, Bayesian Modeling and Multiple Imputation.

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. Mixture Models272 topics
  2. Bayesian Inference251 topic
  3. Clustering251 topic
  4. Model Selection182 topics
  5. Regularization161 topic
  6. Variable Selection161 topic
  7. Bayesian Modeling91 topic
  8. Multiple Imputation91 topic
  9. Interacting Particle Systems51 topic
  10. Scaling Limits51 topic
  11. Insurance31 topic
  12. Risk31 topic
  13. Bayesian Monte Carlo21 topic
  14. Capture-Recapture21 topic
  15. Facilitated Diffusion21 topic
  16. Markov Chain21 topic
  17. Population Size Estimation21 topic
  18. Protein-DNA Interaction21 topic

Where does Igor Pruenster work?

Igor Pruenster's main affiliation in the publication record is University of Pavia, Italy.

How many publications and citations does Igor Pruenster have?

OpenAlex counts 37 works and 118 citations for Igor Pruenster, an h-index of 7, ranking #5,720,424 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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