Brian Cabral
About
Brian Cabral is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Biomedical Engineering.
According to data from OpenAlex, Brian Cabral has authored 6 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Biomedical Engineering. Recurrent topics in Brian Cabral’s work include Computer Graphics and Visualization Techniques (2 papers), Data Visualization and Analytics (2 papers) and Advanced Vision and Imaging (2 papers). Brian Cabral is often cited by papers focused on Computer Graphics and Visualization Techniques (2 papers), Data Visualization and Analytics (2 papers) and Advanced Vision and Imaging (2 papers). Brian Cabral collaborates with scholars based in United States, Israel and Pakistan. Brian Cabral's co-authors include Nelson Max, R. Springmeyer, Rick Szeliski, Joyce Hsu, Alexander Sorkine‐Hornung, S.G. Azevedo, Ryan Overbeck, Robert Konrad, Peter Hedman and Steve Sullivan and has published in prestigious journals such as ACM Transactions on Graphics, ACM SIGGRAPH Computer Graphics and Pure (University of Bath).
In The Last Decade
Co-authorship network of co-authors of Brian Cabral i
Fields of papers citing papers by Brian Cabral
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 Brian Cabral. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Brian Cabral may publish in the future.
Countries citing papers authored by Brian Cabral
Since SpecializationCitations
This map shows the geographic impact of Brian Cabral'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 Brian Cabral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Cabral more than expected).
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