E. S. Pearson
E. S. Pearson publishes mostly in Statistics and Probability, Artificial Intelligence and Applied Mathematics, on topics such as Statistical Methods and Inference, Statistical and numerical algorithms and Statistical Methods and Bayesian Inference.
- World rank
- #13,655 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #1,238 of 90,785
- Works
- 47
- Citations
- 836
- Citations per work
- 17.8
What does E. S. Pearson research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability36% of their works
- 2Artificial Intelligence11% of their works
- 3Applied Mathematics9% of their works
- 4History and Philosophy of Science4% of their works
- 5Geometry and Topology4% of their works
- 6Molecular Biology4% of their works
Research topics
- Statistical Methods and Inference
- Statistical and numerical algorithms
- Statistical Methods and Bayesian Inference
- Genetics, Bioinformatics, and Biomedical Research
- Statistical and Computational Modeling
- Advanced Statistical Methods and Models
- Statistics Education and Methodologies
- Census and Population Estimation
Which keywords describe E. S. Pearson's research?
The keywords of their largest research topics: Regularization, Variable Selection, Bayesian Modeling, Multiple Imputation, Singular Spectrum Analysis, Total Least Squares, Bioinformatics and Capture-Recapture.
- Statistics Anxiety
- Population Size Estimation
- Inductive Modeling
- Education
- Capture-Recapture
- Total Least Squares
- Multiple Imputation
- Variable Selection
- Regularization
- Bayesian Modeling
- Singular Spectrum Analysis
- Bioinformatics
- Data Science
- GMDH-type Neural Networks
- Multicollinearity
- Regression 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.
All 16 words, with their numbers
- Regularization41 topic
- Variable Selection41 topic
- Bayesian Modeling31 topic
- Multiple Imputation31 topic
- Singular Spectrum Analysis31 topic
- Total Least Squares31 topic
- Bioinformatics21 topic
- Capture-Recapture21 topic
- Data Science21 topic
- Education21 topic
- GMDH-type Neural Networks21 topic
- Inductive Modeling21 topic
- Multicollinearity21 topic
- Population Size Estimation21 topic
- Regression Analysis21 topic
- Statistics Anxiety21 topic
Where does E. S. Pearson work?
E. S. Pearson's main affiliation in the publication record is University College London, United Kingdom.
How many publications and citations does E. S. Pearson have?
Science Explorer counts 47 works and 836 citations for E. S. Pearson, ranking #13,655 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.