Steven Riley
About
Steven Riley is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases.
According to data from OpenAlex, Steven Riley has authored 177 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Modeling and Simulation, 100 papers in Epidemiology and 70 papers in Infectious Diseases. Recurrent topics in Steven Riley’s work include COVID-19 epidemiological studies (104 papers), Influenza Virus Research Studies (87 papers) and Animal Disease Management and Epidemiology (34 papers). Steven Riley is often cited by papers focused on COVID-19 epidemiological studies (104 papers), Influenza Virus Research Studies (87 papers) and Animal Disease Management and Epidemiology (34 papers). Steven Riley collaborates with scholars based in United Kingdom, Hong Kong and United States. Steven Riley's co-authors include Neil M. Ferguson, Christl A. Donnelly, Christophe Fraser, GM Leung and Yi Guan and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.
In The Last Decade
Fields of papers citing papers by Steven Riley
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 Steven Riley. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Steven Riley may publish in the future.
Countries citing papers authored by Steven Riley
Since SpecializationCitations
This map shows the geographic impact of Steven Riley'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 Steven Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Riley more than expected).
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