Daniela Raicu
About
Daniela Raicu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Daniela Raicu has authored 84 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 40 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniela Raicu’s work include Radiomics and Machine Learning in Medical Imaging (31 papers), AI in cancer detection (27 papers) and Image Retrieval and Classification Techniques (17 papers). Daniela Raicu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), AI in cancer detection (27 papers) and Image Retrieval and Classification Techniques (17 papers). Daniela Raicu collaborates with scholars based in United States, Mexico and Australia. Daniela Raicu's co-authors include Jacob Furst, David S. Channin, Samuel G. Armato, Katherine J. Strandburg, Noriko Tomuro, Yu Zhang, Jonathan Gemmell, Samah Fodeh, Ana M. León and Michael Lam and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.
In The Last Decade
Co-authorship network of co-authors of Daniela Raicu i
Fields of papers citing papers by Daniela Raicu
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 Daniela Raicu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniela Raicu may publish in the future.
Countries citing papers authored by Daniela Raicu
Since SpecializationCitations
This map shows the geographic impact of Daniela Raicu'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 Daniela Raicu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Raicu more than expected).
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