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Researcher · École Polytechnique · France

Julie Josse

Julie Josse publishes mostly in Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, on topics such as Statistical Methods and Bayesian Inference, Advanced Causal Inference Techniques and Bayesian Methods and Mixture Models.

OpenAlex
World rank
#4,611,080
of 7,710,434 ranked researchers
Rank in France
#194,206
of 324,115
Works
20
Citations
45
Citations per work
2.3
h-index
3
i10-index 2Top 97% in Statistics and Probability
Julie Josse

What does Julie Josse research?

Julie Josse's work is mostly in Mathematics (33%), Computer Science (30%), Decision Sciences (6%).

Physical Sciences: 13 works · 63.0% of their workMathematics: 7 works · 32.6% of their workStatistics and Probability: 7 works · 32.6% of their workComputer Science: 6 works · 30.4% of their workArtificial Intelligence: 5 works · 26.1% of their workSignal Processing: 1 works · 4.3% of their workEverything else: 4 works · 21.9% of their workHealth Sciences: 2 works · 8.6% of their workHealth Professions: 1 works · 4.3% of their workGeneral Health Professions: 1 works · 4.3% of their workMedicine: 1 works · 4.3% of their workPulmonary and Respiratory Medicine: 1 works · 4.3% of their workSocial Sciences: 1 works · 6.5% of their workDecision Sciences: 1 works · 6.5% of their workStatistics, Probability and Uncertainty: 1 works · 6.5% of their workTHEIR WORKJulie Josse20works
Physical Sciences63%Health Sciences9%Social Sciences6%

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. Mathematics732.6%
    2. Computer Science630.4%
  2. Everything else421.9%
    1. Health Professions14.3%
    2. Medicine14.3%
    1. Decision Sciences16.5%
  1. 1Statistics and Probability33% of their works
  2. 2Artificial Intelligence26% of their works
  3. 3Statistics, Probability and Uncertainty6% of their works
  4. 4General Health Professions4% of their works
  5. 5Pulmonary and Respiratory Medicine4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Julie Josse's research?

The keywords of their largest research topics: Bayesian Modeling, Multiple Imputation, Causal Inference, High-Dimensional Data, Propensity Score, Clustering, Mixture Models and Regularization.

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 17 words, with their numbers
  1. Bayesian Modeling61 topic
  2. Multiple Imputation61 topic
  3. Causal Inference51 topic
  4. High-Dimensional Data52 topics
  5. Propensity Score51 topic
  6. Clustering31 topic
  7. Mixture Models31 topic
  8. Regularization31 topic
  9. Variable Selection31 topic
  10. Clustering Algorithms21 topic
  11. K-means21 topic
  12. Meta-Analysis21 topic
  13. Neural Networks21 topic
  14. PRISMA Statement21 topic
  15. Self-Organizing Maps21 topic
  16. R language11 topic
  17. Statistical Analysis11 topic

Where does Julie Josse work?

Julie Josse's main affiliation in the publication record is École Polytechnique, France.

How many publications and citations does Julie Josse have?

OpenAlex counts 20 works and 45 citations for Julie Josse, an h-index of 3, ranking #4,611,080 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.

Other researchers named Julie Josse

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Discussion

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