Michael Correll

33 papers and 747 indexed citations i.

About

Michael Correll is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Michael Correll has authored 33 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Michael Correll’s work include Data Visualization and Analytics (24 papers), Data Analysis with R (13 papers) and Image and Video Quality Assessment (4 papers). Michael Correll is often cited by papers focused on Data Visualization and Analytics (24 papers), Data Analysis with R (13 papers) and Image and Video Quality Assessment (4 papers). Michael Correll collaborates with scholars based in United States, Canada and Uganda. Michael Correll's co-authors include Michael Gleicher, Melanie Tory, Lyn Bartram, Alper Sarıkaya, Danyel Fisher, Danielle Albers, Steven Franconeri, Jessica Hullman, Alex Kale and Matthew Kay and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Michael Correll i

Fields of papers citing papers by Michael Correll

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

Countries citing papers authored by Michael Correll

Since Specialization
Citations

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

Rankless by CCL
2025