Mitchell M. Goodsitt
About
Mitchell M. Goodsitt is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence.
According to data from OpenAlex, Mitchell M. Goodsitt has authored 129 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 52 papers in Pulmonary and Respiratory Medicine and 41 papers in Artificial Intelligence. Recurrent topics in Mitchell M. Goodsitt’s work include Digital Radiography and Breast Imaging (44 papers), Medical Imaging Techniques and Applications (43 papers) and AI in cancer detection (41 papers). Mitchell M. Goodsitt is often cited by papers focused on Digital Radiography and Breast Imaging (44 papers), Medical Imaging Techniques and Applications (43 papers) and AI in cancer detection (41 papers). Mitchell M. Goodsitt collaborates with scholars based in United States, South Korea and Japan. Mitchell M. Goodsitt's co-authors include Heang‐Ping Chan, Mark A. Helvie, Berkman Sahiner, Lubomir M. Hadjiiski and Marilyn A. Roubidoux and has published in prestigious journals such as Ecology, Radiology and The Journal of the Acoustical Society of America.
In The Last Decade
Fields of papers citing papers by Mitchell M. Goodsitt
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 Mitchell M. Goodsitt. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mitchell M. Goodsitt may publish in the future.
Countries citing papers authored by Mitchell M. Goodsitt
Since SpecializationCitations
This map shows the geographic impact of Mitchell M. Goodsitt'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 Mitchell M. Goodsitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell M. Goodsitt more than expected).
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