Stefan Eberl
About
Stefan Eberl is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Stefan Eberl has authored 151 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Computer Vision and Pattern Recognition and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stefan Eberl’s work include Medical Imaging Techniques and Applications (80 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Image Segmentation Techniques (33 papers). Stefan Eberl is often cited by papers focused on Medical Imaging Techniques and Applications (80 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Image Segmentation Techniques (33 papers). Stefan Eberl collaborates with scholars based in Australia, Hong Kong and China. Stefan Eberl's co-authors include Nicholas Pocock, Philip N. Sambrook, M. Yeates, John A. Eisman, Michael Fulham, Evangelia Daviskas, John L. Hopper, Steven R. Meikle, Hak‐Kim Chan and Roger Fulton and has published in prestigious journals such as Journal of Clinical Investigation, NeuroImage and American Journal of Respiratory and Critical Care Medicine.
In The Last Decade
Co-authorship network of co-authors of Stefan Eberl i
Fields of papers citing papers by Stefan Eberl
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 produced by Stefan Eberl. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Stefan Eberl may publish in the future.
Countries citing papers authored by Stefan Eberl
Since SpecializationCitations
This map shows the geographic impact of Stefan Eberl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Eberl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Eberl more than expected).
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