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Researcher · Universidade Federal de São Carlos · Brazil

Daiane Aparecida Zuanetti

Daiane Aparecida Zuanetti publishes mostly in Artificial Intelligence, Statistics and Probability and Genetics, on topics such as Bayesian Methods and Mixture Models, Gene expression and cancer classification and Genetic and phenotypic traits in livestock.

ORCID 0000-0003-1591-959X OpenAlex
World rank
#6,323,943
of 7,710,434 ranked researchers
Rank in Brazil
#165,262
of 253,246
Works
22
Citations
89
Citations per work
4.0
h-index
6
i10-index 5Top 74% in Artificial Intelligence
Daiane Aparecida Zuanetti

What does Daiane Aparecida Zuanetti research?

Daiane Aparecida Zuanetti's work is mostly in Biochemistry, Genetics and Molecular Biology (26%), Computer Science (21%), Mathematics (15%).

Physical Sciences: 10 works · 44.0% of their workComputer Science: 5 works · 21.2% of their workArtificial Intelligence: 5 works · 21.2% of their workMathematics: 3 works · 15.2% of their workStatistics and Probability: 3 works · 15.2% of their workMaterials Science: 2 works · 7.6% of their workMaterials Chemistry: 2 works · 7.6% of their workLife Sciences: 7 works · 30.2% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 25.7% of their workGenetics: 3 works · 13.6% of their workMolecular Biology: 3 works · 12.1% of their workAgricultural and Biological Sciences: 1 works · 4.5% of their workPlant Science: 1 works · 4.5% of their workEverything else: 6 works · 25.8% of their workTHEIR WORKDaiane AparecidaZuanetti22works
Life Sciences30%Physical Sciences44%

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 Science521.2%
    2. Mathematics315.2%
    3. Materials Science27.6%
    1. Biochemistry, Genetics and Molecular Biology625.7%
    2. Agricultural and Biological Sciences14.5%
  3. Everything else625.8%
  1. 1Artificial Intelligence21% of their works
  2. 2Statistics and Probability15% of their works
  3. 3Genetics14% of their works
  4. 4Molecular Biology12% of their works
  5. 5Materials Chemistry8% of their works
  6. 6Plant Science4% of their works

Research topics

Which keywords describe Daiane Aparecida Zuanetti's research?

The keywords of their largest research topics: Clustering, Bayesian Inference, Mixture Models, Gene Expression, Marker-Assisted Selection, Genome-Wide Association, Plant Breeding and Data Analysis.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Clustering162 topics
  2. Bayesian Inference111 topic
  3. Mixture Models111 topic
  4. Gene Expression72 topics
  5. Marker-Assisted Selection72 topics
  6. Genome-Wide Association62 topics
  7. Plant Breeding62 topics
  8. Data Analysis51 topic
  9. Genetic Variation52 topics
  10. Microarray51 topic
  11. Animal Breeding41 topic
  12. Genomic Selection41 topic
  13. Bayesian Modeling31 topic
  14. Genome-wide Association Studies31 topic
  15. Multiple Imputation31 topic
  16. Quantitative Trait Loci31 topic
  17. Regularization31 topic
  18. Variable Selection31 topic
  19. Cultivar Evaluation21 topic
  20. Genotype-by-Environment Interaction21 topic
  21. Haplotype Mapping21 topic
  22. Mendelian Randomization21 topic

Where does Daiane Aparecida Zuanetti work?

Daiane Aparecida Zuanetti's main affiliation in the publication record is Universidade Federal de São Carlos, Brazil.

How many publications and citations does Daiane Aparecida Zuanetti have?

OpenAlex counts 22 works and 89 citations for Daiane Aparecida Zuanetti, an h-index of 6, ranking #6,323,943 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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