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Researcher · University of Oxford · United Kingdom

Ioana Bica

Ioana Bica publishes mostly in Artificial Intelligence, Statistics and Probability and Epidemiology, on topics such as Advanced Causal Inference Techniques, Machine Learning in Healthcare and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0001-5564-0214 OpenAlex
World rank
#1,904,610
of 7,710,434 ranked researchers
Rank in United Kingdom
#141,030
of 367,258
Works
71
Citations
2.9k
Citations per work
40.7
h-index
15
i10-index 27Top 22% in Artificial Intelligence
Ioana Bica

What does Ioana Bica research?

Ioana Bica's work is mostly in Computer Science (21%), Medicine (20%), Mathematics (12%).

Everything else: 30 works · 41.6% of their workPhysical Sciences: 24 works · 33.5% of their workComputer Science: 15 works · 21.3% of their workArtificial Intelligence: 15 works · 21.3% of their workMathematics: 9 works · 12.2% of their workStatistics and Probability: 9 works · 12.2% of their workHealth Sciences: 14 works · 19.8% of their workMedicine: 14 works · 19.8% of their workEpidemiology: 5 works · 7.6% of their workHepatology: 4 works · 6.1% of their workInfectious Diseases: 4 works · 6.1% of their workLife Sciences: 4 works · 5.1% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 5.1% of their workMolecular Biology: 4 works · 5.1% of their workTHEIR WORKIoana Bica71works
Life Sciences5%Physical Sciences33%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 else3041.6%
    1. Computer Science1521.3%
    2. Mathematics912.2%
    1. Medicine1419.8%
    1. Biochemistry, Genetics and Molecular Biology45.1%
  1. 1Artificial Intelligence21% of their works
  2. 2Statistics and Probability12% of their works
  3. 3Epidemiology8% of their works
  4. 4Infectious Diseases6% of their works
  5. 5Hepatology6% of their works
  6. 6Molecular Biology5% of their works

Research topics

Which keywords describe Ioana Bica's research?

The keywords of their largest research topics: Deep Learning, Causal Inference, Propensity Score, Epidemiology, Electronic Health Records, Healthcare, Domain Adaptation and Hepatitis C Virus.

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. Deep Learning182 topics
  2. Causal Inference161 topic
  3. Propensity Score161 topic
  4. Epidemiology142 topics
  5. Electronic Health Records131 topic
  6. Healthcare131 topic
  7. Domain Adaptation91 topic
  8. Hepatitis C Virus91 topic
  9. Transfer Learning91 topic
  10. Treatment91 topic
  11. Interpretable Models71 topic
  12. Machine Learning Interpretability71 topic
  13. Cost-effectiveness Analysis61 topic
  14. Quality of Life61 topic
  15. COVID-1951 topic
  16. Clustering51 topic
  17. Modeling51 topic
  18. Time Series51 topic

Where does Ioana Bica work?

Ioana Bica's main affiliation in the publication record is University of Oxford, United Kingdom.

How many publications and citations does Ioana Bica have?

OpenAlex counts 71 works and 2,893 citations for Ioana Bica, an h-index of 15, ranking #1,904,610 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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