The Lancet Digital Health
About
The 479 papers published in The Lancet Digital Health in the last decades have received a total of 19.9k indexed citations.
Papers published in The Lancet Digital Health usually cover Radiology, Nuclear Medicine and Imaging (102 papers), Health Informatics (90 papers) and Artificial Intelligence (89 papers) specifically the topics of Artificial Intelligence in Healthcare and Education (90 papers), Radiomics and Machine Learning in Medical Imaging (44 papers) and Machine Learning in Healthcare (43 papers). The most active scholars publishing in The Lancet Digital Health are Talha Burki, Becky McCall, Eric J. Topol, Geoff Watts, Marzyeh Ghassemi, Kyle Lam, Andrew L. Beam, Luke Oakden‐Rayner, The Lancet Digital Health and Alastair K. Denniston.
In The Last Decade
Fields of papers published in The Lancet Digital Health
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 published in The Lancet Digital Health. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in The Lancet Digital Health
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in The Lancet Digital Health. 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 published in The Lancet Digital Health 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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