David Chapman

40 papers and 1.4k indexed citations i.

About

David Chapman has authored 40 papers that have received a total of 1.4k indexed citations. This includes 11 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Global and Planetary Change. The topics of these papers are COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Climate variability and models (5 papers). David Chapman is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Climate variability and models (5 papers) and collaborates with scholars based in United States and Norway. David Chapman's co-authors include Yelena Yesha, Michael Morris, Naomi Henderson and Dong Eun Lee and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and American Journal of Obstetrics and Gynecology.

In The Last Decade

Fields of papers published by David Chapman

Since Specialization
EngineeringComputer 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

Countries citing papers authored by David Chapman

Since Specialization
Citations
Rankless by CCL
2025