Carlos Sing‐Long
About
Carlos Sing‐Long is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Carlos Sing‐Long has authored 25 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carlos Sing‐Long’s work include Advanced MRI Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (4 papers) and Machine Learning in Materials Science (3 papers). Carlos Sing‐Long is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (4 papers) and Machine Learning in Materials Science (3 papers). Carlos Sing‐Long collaborates with scholars based in Chile, United States and United Kingdom. Carlos Sing‐Long's co-authors include Emmanuel J. Candès, Joshua D. Trzasko, Sergio Uribe, Qian Yang, Evan J. Reed, Cristián Tejos, Pablo Irarrázaval, Georgios Georgiopoulos, Olivier Jaubert and Pier Giorgio Masci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Magnetic Resonance in Medicine and Computer Methods in Applied Mechanics and Engineering.
In The Last Decade
Co-authorship network of co-authors of Carlos Sing‐Long i
Fields of papers citing papers by Carlos Sing‐Long
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 Carlos Sing‐Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Carlos Sing‐Long may publish in the future.
Countries citing papers authored by Carlos Sing‐Long
Since SpecializationCitations
This map shows the geographic impact of Carlos Sing‐Long'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 Carlos Sing‐Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Sing‐Long more than expected).
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