Nathan Gaw
About
Nathan Gaw is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering.
According to data from OpenAlex, Nathan Gaw has authored 16 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomedical Engineering. Recurrent topics in Nathan Gaw’s work include Fault Detection and Control Systems (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Nathan Gaw is often cited by papers focused on Fault Detection and Control Systems (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Nathan Gaw collaborates with scholars based in United States, India and United Kingdom. Nathan Gaw's co-authors include Jing Li, Teresa Wu, Todd J. Schwedt, Catherine D. Chong, Yinlin Fu, Nishanth Arun, Jayashree Kalpathy‐Cramer, Katharina Hoebel, Ken Chang and Praveer Singh and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Neuro-Oncology.
In The Last Decade
Co-authorship network of co-authors of Nathan Gaw i
Fields of papers citing papers by Nathan Gaw
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 Nathan Gaw. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Nathan Gaw may publish in the future.
Countries citing papers authored by Nathan Gaw
Since SpecializationCitations
This map shows the geographic impact of Nathan Gaw'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 Nathan Gaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Gaw more than expected).
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