Carlos Fernandez‐Granda

About

Carlos Fernandez‐Granda is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Carlos Fernandez‐Granda has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Carlos Fernandez‐Granda’s work include Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Advanced Image Processing Techniques (6 papers). Carlos Fernandez‐Granda is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Advanced Image Processing Techniques (6 papers). Carlos Fernandez‐Granda collaborates with scholars based in United States, France and India. Carlos Fernandez‐Granda's co-authors include Narges Razavian, Kangning Liu, Peter A. Crozier, Joshua Vincent and Eero P. Simoncelli and has published in prestigious journals such as Science, Nature Biotechnology and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Carlos Fernandez‐Granda

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 Carlos Fernandez‐Granda. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Carlos Fernandez‐Granda may publish in the future.

Countries citing papers authored by Carlos Fernandez‐Granda

Since Specialization

Citations

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

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