Michael Correll
About
Michael Correll has authored 30 papers that have received a total of 689 indexed citations.
This includes 23 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Signal Processing. The topics of these papers are Data Visualization and Analytics (23 papers), Data Analysis with R (12 papers) and Image and Video Quality Assessment (4 papers). Michael Correll is often cited by papers focused on Data Visualization and Analytics (23 papers), Data Analysis with R (12 papers) and Image and Video Quality Assessment (4 papers) and collaborates with scholars based in United States, Canada and Uganda. Michael Correll's co-authors include Michael Gleicher, David H. O’Connor, Danielle Albers, Thomas C. Friedrich and Alper Sarıkaya and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Virology
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