David Sirl
About
David Sirl is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health.
According to data from OpenAlex, David Sirl has authored 22 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 12 papers in Statistical and Nonlinear Physics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Sirl’s work include COVID-19 epidemiological studies (13 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (8 papers). David Sirl is often cited by papers focused on COVID-19 epidemiological studies (13 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (8 papers). David Sirl collaborates with scholars based in United Kingdom, Australia and Sweden. David Sirl's co-authors include Frank Ball, Pieter Trapman, Tom Britton, Joshua V. Ross, Thomas House, Frank Ball, P. K. Pollett, Hanjun Zhang, Hugh P. Possingham and Lara Alcock and has published in prestigious journals such as Ecological Applications, Journal of The Royal Society Interface and Journal of the Royal Statistical Society Series C (Applied Statistics).
In The Last Decade
Co-authorship network of co-authors of David Sirl i
Fields of papers citing papers by David Sirl
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 David Sirl. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David Sirl may publish in the future.
Countries citing papers authored by David Sirl
Since SpecializationCitations
This map shows the geographic impact of David Sirl'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 David Sirl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sirl more than expected).
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