Michael Friendly

62 papers and 2.7k indexed citations i.

About

Michael Friendly is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Friendly has authored 62 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Friendly’s work include Advanced Statistical Methods and Models (14 papers), Statistical Methods and Applications (11 papers) and Data Visualization and Analytics (11 papers). Michael Friendly is often cited by papers focused on Advanced Statistical Methods and Models (14 papers), Statistical Methods and Applications (11 papers) and Data Visualization and Analytics (11 papers). Michael Friendly collaborates with scholars based in Canada, United States and United Kingdom. Michael Friendly's co-authors include Pedro Valero‐Mora, Forrest W. Young, Ernest Kwan, Howard Wainer and John Fox and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Fields of papers citing papers by Michael Friendly

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

Countries citing papers authored by Michael Friendly

Since Specialization
Citations

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

Rankless by CCL
2025