Statistics, Probability and Uncertainty
About
327.5k papers covering Statistics, Probability and Uncertainty have received a total of 8.2M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Probabilistic and Robust Engineering Design, Risk and Safety Analysis and Scientific Measurement and Uncertainty Evaluation and also cover the fields of Statistics and Probability, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. Papers citing papers on subfields are usually about Statistics and Probability, Civil and Structural Engineering and Public Health, Environmental and Occupational Health. Some of the most active scholars covering Statistics, Probability and Uncertainty are Douglas G. Altman, David Moher, John P. A. Ioannidis, Gordon Guyatt and Julian P. T. Higgins.
In The Last Decade
Fields of papers citing papers about Statistics, Probability and Uncertainty
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 covering Statistics, Probability and Uncertainty. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Statistics, Probability and Uncertainty
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Statistics, Probability and Uncertainty. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers about Statistics, Probability and Uncertainty with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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