Michael Parzen

37 papers and 1.1k indexed citations i.

About

Michael Parzen is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Michael Parzen has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Michael Parzen’s work include Statistical Methods and Bayesian Inference (22 papers), Statistical Methods and Inference (17 papers) and Advanced Statistical Methods and Models (12 papers). Michael Parzen is often cited by papers focused on Statistical Methods and Bayesian Inference (22 papers), Statistical Methods and Inference (17 papers) and Advanced Statistical Methods and Models (12 papers). Michael Parzen collaborates with scholars based in United States, Canada and Australia. Michael Parzen's co-authors include Stuart R. Lipsitz, L. J. Wei, Z. Ying, Nicholas J. Horton, Joseph G. Ibrahim, Garrett M. Fitzmaurice, Goce Andrevski, James F. Fairbank, Giuseppe Labianca and Neil Klar and has published in prestigious journals such as Biometrics, Biometrika and Statistics in Medicine.

In The Last Decade

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

Fields of papers citing papers by Michael Parzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Parzen. 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 Parzen. The network helps show where Michael Parzen may publish in the future.

Countries citing papers authored by Michael Parzen

Since Specialization
Citations

This map shows the geographic impact of Michael Parzen'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 Parzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Parzen 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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2025