E. S. Pearson

83 papers and 5.3k indexed citations i.

About

E. S. Pearson is a scholar working on Statistics and Probability, Applied Mathematics and Artificial Intelligence. According to data from OpenAlex, E. S. Pearson has authored 83 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 6 papers in Applied Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in E. S. Pearson’s work include Statistics Education and Methodologies (8 papers), Advanced Statistical Methods and Models (5 papers) and Probability and Statistical Research (5 papers). E. S. Pearson is often cited by papers focused on Statistics Education and Methodologies (8 papers), Advanced Statistical Methods and Models (5 papers) and Probability and Statistical Research (5 papers). E. S. Pearson collaborates with scholars based in United Kingdom, Australia and United States. E. S. Pearson's co-authors include I. Richard Savage, H. O. Hartley, Ralph B. D’Agostino, Ronald Aylmer Fisher, Norman L. Johnson, E. C. Fieller, M. G. Kendall, H. A. David, K.O. Bowman and N. W. Please and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Technometrics.

In The Last Decade

Co-authorship network of co-authors of E. S. Pearson i

Fields of papers citing papers by E. S. Pearson

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by E. S. Pearson. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where E. S. Pearson may publish in the future.

Countries citing papers authored by E. S. Pearson

Since Specialization
Citations

This map shows the geographic impact of E. S. Pearson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. S. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. S. Pearson more than expected).

Rankless by CCL
2025