Insights into Imaging
About
The 1.6k papers published in Insights into Imaging in the last decades have received a total of 30.7k indexed citations.
Papers published in Insights into Imaging usually cover Radiology, Nuclear Medicine and Imaging (747 papers), Surgery (525 papers) and Pulmonary and Respiratory Medicine (433 papers) specifically the topics of Radiomics and Machine Learning in Medical Imaging (271 papers), Radiation Dose and Imaging (190 papers) and Radiology practices and education (175 papers). The most active scholars publishing in Insights into Imaging are Richard Kinh Gian, Kaori Togashi, Mizuho Nishio, Rikiya Yamashita, European Society of Radiology, Adrian P. Brady, Hatem Alkadhi, Carlo Martinoli, Bettina Baeßler and D. Cester.
In The Last Decade
Fields of papers published in Insights into Imaging
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 Insights into Imaging. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Insights into Imaging
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Insights into Imaging. 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 Insights into Imaging 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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