C. Mitchell Dayton
About
C. Mitchell Dayton is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence.
According to data from OpenAlex, C. Mitchell Dayton has authored 65 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in C. Mitchell Dayton’s work include Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (13 papers) and Statistical Methods in Clinical Trials (7 papers). C. Mitchell Dayton is often cited by papers focused on Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (13 papers) and Statistical Methods in Clinical Trials (7 papers). C. Mitchell Dayton collaborates with scholars based in United States, Egypt and United Kingdom. C. Mitchell Dayton's co-authors include George B. Macready, John Eliot, N. J. Scheers, William D. Schafer and Jacques A. Hagenaars and has published in prestigious journals such as Journal of the American Statistical Association, Cancer and Social Science & Medicine.
In The Last Decade
Fields of papers citing papers by C. Mitchell Dayton
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 C. Mitchell Dayton. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where C. Mitchell Dayton may publish in the future.
Countries citing papers authored by C. Mitchell Dayton
Since SpecializationCitations
This map shows the geographic impact of C. Mitchell Dayton'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 C. Mitchell Dayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Mitchell Dayton more than expected).
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