Healthcare Technology Letters
About
The 368 papers published in Healthcare Technology Letters in the last decades have received a total of 4.4k indexed citations.
Papers published in Healthcare Technology Letters usually cover Biomedical Engineering (139 papers), Computer Vision and Pattern Recognition (91 papers) and Surgery (68 papers) specifically the topics of Non-Invasive Vital Sign Monitoring (52 papers), ECG Monitoring and Analysis (47 papers) and Surgical Simulation and Training (42 papers). The most active scholars publishing in Healthcare Technology Letters are Salim Lahmiri, Mohammad Tariqul Islam, Hadas Lewy, Samarendra Dandapat, Ishita Bhakta, Arkaprabha Sau, M. Sabarimalai Manikandan, Barathram Ramkumar, Jianfeng Hu and Raafat Aburukba.
In The Last Decade
Fields of papers published in Healthcare Technology Letters
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 Healthcare Technology Letters. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Healthcare Technology Letters
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Healthcare Technology Letters. 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 Healthcare Technology Letters 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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