Tal Arbel
About
Tal Arbel is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence.
According to data from OpenAlex, Tal Arbel has authored 89 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 22 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Artificial Intelligence. Recurrent topics in Tal Arbel’s work include Medical Image Segmentation Techniques (33 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Brain Tumor Detection and Classification (13 papers). Tal Arbel is often cited by papers focused on Medical Image Segmentation Techniques (33 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Brain Tumor Detection and Classification (13 papers). Tal Arbel collaborates with scholars based in Canada, United States and United Kingdom. Tal Arbel's co-authors include D. Louis Collins, Douglas L. Arnold, Doina Precup, M. Jorge Cardoso, Matthew Toews, Hayit Greenspan, Gustavo Carneiro, João Manuel R. S. Tavares, Anant Madabhushi and Tanveer Syeda-Mahmood and has published in prestigious journals such as Nature Communications, NeuroImage and Neurology.
In The Last Decade
Co-authorship network of co-authors of Tal Arbel i
Fields of papers citing papers by Tal Arbel
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 Tal Arbel. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tal Arbel may publish in the future.
Countries citing papers authored by Tal Arbel
Since SpecializationCitations
This map shows the geographic impact of Tal Arbel'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 Tal Arbel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Arbel more than expected).
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