Simon Day
About
Simon Day is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty.
According to data from OpenAlex, Simon Day has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 25 papers in Economics and Econometrics and 15 papers in Statistics, Probability and Uncertainty. Recurrent topics in Simon Day’s work include Statistical Methods in Clinical Trials (31 papers), Health Systems, Economic Evaluations, Quality of Life (25 papers) and Meta-analysis and systematic reviews (15 papers). Simon Day is often cited by papers focused on Statistical Methods in Clinical Trials (31 papers), Health Systems, Economic Evaluations, Quality of Life (25 papers) and Meta-analysis and systematic reviews (15 papers). Simon Day collaborates with scholars based in United Kingdom, France and United States. Simon Day's co-authors include Douglas G. Altman, David Graham, Gillian Raab, W R Burnham, Derek Harvey, Peter Fayers, Liora Pedhazur Schmelkin, Elazar J. Pedhazur, Nigel Stallard and Martin Posch and has published in prestigious journals such as The Lancet, Nature Reviews Drug Discovery and Biometrics.
In The Last Decade
Co-authorship network of co-authors of Simon Day i
Fields of papers citing papers by Simon Day
Since SpecializationEngineeringComputer 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 Simon Day. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Simon Day may publish in the future.
Countries citing papers authored by Simon Day
Since SpecializationCitations
This map shows the geographic impact of Simon Day'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 Simon Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Day more than expected).
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