Michael C. Burl
About
Michael C. Burl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Michael C. Burl has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael C. Burl’s work include Advanced MRI Techniques and Applications (8 papers), Planetary Science and Exploration (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Michael C. Burl is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), Planetary Science and Exploration (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Michael C. Burl collaborates with scholars based in United States, United Kingdom and Italy. Michael C. Burl's co-authors include L.M. Novak, Pietro Perona, I. R. Young, W.W. Irving, Pietro Perona, Padhraic Smyth, Usama M. Fayyad, Alex Holub, Thomas Leung and Nathan S. Lewis and has published in prestigious journals such as The Lancet, Analytical Chemistry and Development.
In The Last Decade
Co-authorship network of co-authors of Michael C. Burl i
Fields of papers citing papers by Michael C. Burl
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 Michael C. Burl. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael C. Burl may publish in the future.
Countries citing papers authored by Michael C. Burl
Since SpecializationCitations
This map shows the geographic impact of Michael C. Burl'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 Michael C. Burl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Burl more than expected).
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