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), Data Visualization and Analytics (11 papers) and Statistical Methods and Applications (11 papers). Michael Friendly is often cited by papers focused on Advanced Statistical Methods and Models (14 papers), Data Visualization and Analytics (11 papers) and Statistical Methods and Applications (11 papers). Michael Friendly collaborates with scholars based in Canada, United States and United Kingdom. Michael Friendly's co-authors include Leland Wilkinson, David C. Rubin, John Fox, Patricia E. Franklin, David Hoffman, Sanford Weisberg, Ernest Kwan, Daniel J. Denis, Georges Monette and Pedro Valero‐Mora 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

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

Fields of papers citing papers by Michael Friendly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Friendly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Friendly. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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