Health Informatics
About
27.9k papers covering Health Informatics have received a total of 433.3k indexed citations since 1950.
Papers on subfields are most often about the specific topic of Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging and COVID-19 diagnosis using AI and also cover the fields of Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. Papers citing papers on subfields are usually about Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. Some of the most active scholars covering Health Informatics are Leo Anthony Celi, Eric J. Topol, Luciano Floridi, I. Glenn Cohen and Andreas Holzinger.
In The Last Decade
Fields of papers citing papers about Health Informatics
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 covering Health Informatics. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Health Informatics
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Health Informatics. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers about Health Informatics with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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