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Researcher · Roma Tre University · Italy

Paola Vicard

Paola Vicard publishes mostly in Artificial Intelligence, Statistics and Probability and Genetics, on topics such as Bayesian Modeling and Causal Inference, Statistical Methods and Bayesian Inference and Bayesian Methods and Mixture Models.

ORCID 0000-0002-4103-7868 OpenAlex
World rank
#5,642,652
of 7,710,434 ranked researchers
Rank in Italy
#188,429
of 242,206
Works
107
Citations
663
Citations per work
6.2
h-index
12
i10-index 15Top 32% in Artificial Intelligence
Paola Vicard

What does Paola Vicard research?

Paola Vicard's work is mostly in Computer Science (33%), Mathematics (16%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 52 works · 48.5% of their workComputer Science: 35 works · 33.0% of their workArtificial Intelligence: 31 works · 28.6% of their workSignal Processing: 5 works · 4.4% of their workMathematics: 17 works · 15.5% of their workStatistics and Probability: 17 works · 15.5% of their workEverything else: 37 works · 34.7% of their workSocial Sciences: 12 works · 10.8% of their workDecision Sciences: 6 works · 6.0% of their workManagement Science and Operations Research: 6 works · 6.0% of their workSocial Sciences: 5 works · 4.8% of their workSociology and Political Science: 5 works · 4.8% of their workLife Sciences: 6 works · 6.0% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 6.0% of their workGenetics: 6 works · 6.0% of their workTHEIR WORKPaola Vicard107works
Life Sciences6%Physical Sciences48%Social Sciences11%

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 Science3533.0%
    2. Mathematics1715.5%
  2. Everything else3734.7%
    1. Decision Sciences66.0%
    2. Social Sciences54.8%
    1. Biochemistry, Genetics and Molecular Biology66.0%
  1. 1Artificial Intelligence29% of their works
  2. 2Statistics and Probability16% of their works
  3. 3Genetics6% of their works
  4. 4Management Science and Operations Research6% of their works
  5. 5Sociology and Political Science5% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Paola Vicard's research?

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

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 16 words, with their numbers
  1. Bayesian Networks361 topic
  2. Causal Inference361 topic
  3. Bayesian Modeling171 topic
  4. Multiple Imputation171 topic
  5. Clustering111 topic
  6. Mixture Models111 topic
  7. Regularization101 topic
  8. Variable Selection101 topic
  9. Data Mining71 topic
  10. Frequent Patterns71 topic
  11. GPS Trajectories71 topic
  12. Trajectory Data Mining71 topic
  13. Ancient DNA61 topic
  14. Genomic Analysis61 topic
  15. Neural Networks61 topic
  16. Self-Organizing Maps61 topic

Where does Paola Vicard work?

Paola Vicard's main affiliation in the publication record is Roma Tre University, Italy.

How many publications and citations does Paola Vicard have?

OpenAlex counts 107 works and 663 citations for Paola Vicard, an h-index of 12, ranking #5,642,652 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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