Health Technology Assessment
About
The 1.5k papers published in Health Technology Assessment in the last decades have received a total of 111.2k indexed citations.
Papers published in Health Technology Assessment usually cover Surgery (289 papers), Epidemiology (253 papers) and Economics and Econometrics (219 papers) specifically the topics of Health Systems, Economic Evaluations, Quality of Life (199 papers), Healthcare cost, quality, practices (43 papers) and Cardiac, Anesthesia and Surgical Outcomes (42 papers). The most active scholars publishing in Health Technology Assessment are Jonathan J Deeks, Jacqueline Dinnes, Norman Waugh, Mark Sculpher, Amanda Sowden, Emma Loveman, Luke Vale, Cynthia Fraser, A Fry-Smith and Andrew Clegg.
In The Last Decade
Fields of papers published in Health Technology Assessment
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 Health Technology Assessment. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Health Technology Assessment
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Health Technology Assessment. 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 Health Technology Assessment 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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