Jacob Furst

About

Jacob Furst is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacob Furst has authored 100 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jacob Furst’s work include Radiomics and Machine Learning in Medical Imaging (31 papers), AI in cancer detection (26 papers) and Lung Cancer Diagnosis and Treatment (17 papers). Jacob Furst is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), AI in cancer detection (26 papers) and Lung Cancer Diagnosis and Treatment (17 papers). Jacob Furst collaborates with scholars based in United States, Norway and United Kingdom. Jacob Furst's co-authors include Daniela Raicu, Leonard A. Jason, Madison Sunnquist, Abigail Brown, David S. Channin, Samuel G. Armato, Suzanne D. Vernon, Meredyth Evans, Noriko Tomuro and Yu Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Medical Research Methodology.

In The Last Decade

Co-authorship network of co-authors of Jacob Furst i

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Fields of papers citing papers by Jacob Furst

Since Specialization

EngineeringComputer 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 Jacob Furst. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jacob Furst may publish in the future.

Countries citing papers authored by Jacob Furst

Since Specialization

Citations

This map shows the geographic impact of Jacob Furst'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 Jacob Furst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Furst more than expected).

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