David Chapman

40 papers and 1.4k indexed citations i.

About

David Chapman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Global and Planetary Change. According to data from OpenAlex, David Chapman has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Global and Planetary Change. Recurrent topics in David Chapman’s work include 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). David Chapman collaborates with scholars based in United States and Norway. David Chapman's co-authors include Philip E. Agre, Leslie Pack Kaelbling, Myron H. Lutz, Dong Eun Lee, Naomi Henderson, Mark A. Cane, Chen Chen, Ajay N. Jain, Richard H. Lathrop and Teresa Webster and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of David Chapman i

Fields of papers citing papers 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

This network shows the specialization of papers citing the papers produced by David Chapman. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David Chapman may publish in the future.

Countries citing papers authored by David Chapman

Since Specialization
Citations

This map shows the geographic impact of David Chapman'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 Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chapman more than expected).

Rankless by CCL
2025