Michael Parzen

1.4k total citations
36 papers, 1.0k citations indexed

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 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 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 (21 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (12 papers). Michael Parzen is often cited by papers focused on Statistical Methods and Bayesian Inference (21 papers), Statistical Methods and Inference (16 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, Neil Klar, Giuseppe Labianca and James F. Fairbank and has published in prestigious journals such as Biometrics, Biometrika and Statistics in Medicine.

In The Last Decade

Michael Parzen

34 papers receiving 964 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Parzen United States 18 537 126 104 77 73 36 1.0k
Katherine K. Wallman United States 8 427 0.8× 101 0.8× 51 0.5× 71 0.9× 84 1.2× 17 882
Carla Rampichini Italy 14 298 0.6× 87 0.7× 135 1.3× 88 1.1× 78 1.1× 42 767
Wang Miao United States 15 366 0.7× 118 0.9× 214 2.1× 33 0.4× 70 1.0× 53 914
Yu‐Sung Su China 12 257 0.5× 119 0.9× 203 2.0× 56 0.7× 127 1.7× 22 1.1k
Xiao Song United States 21 582 1.1× 167 1.3× 82 0.8× 43 0.6× 109 1.5× 60 1.6k
Ivy Liu New Zealand 16 244 0.5× 136 1.1× 91 0.9× 27 0.4× 59 0.8× 51 839
Daniel Freeman United States 13 224 0.4× 53 0.4× 227 2.2× 69 0.9× 237 3.2× 41 1.3k
Myoung‐jae Lee South Korea 20 493 0.9× 48 0.4× 511 4.9× 61 0.8× 181 2.5× 103 1.5k
Puneet Kumar Gupta India 13 131 0.2× 93 0.7× 100 1.0× 91 1.2× 44 0.6× 40 790
Muhammad Aslam Pakistan 18 307 0.6× 18 0.1× 70 0.7× 178 2.3× 31 0.4× 92 1.0k

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).

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.

Co-authorship network of co-authors of Michael Parzen

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Parzen. A scholar is included among the top collaborators of Michael Parzen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Parzen. Michael Parzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Labianca, Giuseppe, James F. Fairbank, Goce Andrevski, & Michael Parzen. (2009). Striving toward the future: aspiration—performance discrepancies and planned organizational change. Strategic Organization. 7(4). 433–466. 84 indexed citations
3.
Parzen, Michael, Stuart R. Lipsitz, Richard Metters, & Garrett M. Fitzmaurice. (2009). Correlation when data are missing. Journal of the Operational Research Society. 61(6). 1049–1056. 2 indexed citations
4.
Lipsitz, Stuart R., Garrett M. Fitzmaurice, Joseph G. Ibrahim, et al.. (2008). Joint Generalized Estimating Equations for Multivariate Longitudinal Binary Outcomes with Missing Data: An Application to Acquired Immune Deficiency Syndrome Data. Journal of the Royal Statistical Society Series A (Statistics in Society). 172(1). 3–20. 24 indexed citations
5.
Cooper, Robin, David A. Bray, & Michael Parzen. (2007). Who Wins in a Dynamic World: Theory of Constraints Vs. Activity-Based Costing?. SSRN Electronic Journal. 4 indexed citations
6.
Natarajan, S., et al.. (2007). A measure of partial association for generalized estimating equations. Statistical Modelling. 7(2). 175–190. 17 indexed citations
7.
Parzen, Michael, Stuart R. Lipsitz, Garrett M. Fitzmaurice, Joseph G. Ibrahim, & Andrea B. Troxel. (2005). Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates. Statistics in Medicine. 25(16). 2784–2796. 19 indexed citations
8.
Lipsitz, Stuart R., Michael Parzen, S. Natarajan, Joseph G. Ibrahim, & Garrett M. Fitzmaurice. (2004). Generalized Linear Models with a Coarsened Covariate. Journal of the Royal Statistical Society Series C (Applied Statistics). 53(2). 279–292. 2 indexed citations
9.
Horton, Nicholas J., Stuart R. Lipsitz, & Michael Parzen. (2003). A Potential for Bias When Rounding in Multiple Imputation. The American Statistician. 57(4). 229–232. 178 indexed citations
10.
Parzen, Michael, Stuart R. Lipsitz, Joseph G. Ibrahim, & Steven E. Lipshultz. (2002). A weighted estimating equation for linear regression with missing covariate data. Statistics in Medicine. 21(16). 2421–2436. 20 indexed citations
11.
Lipsitz, Stuart R., Michael Parzen, & Lue Ping Zhao. (2002). A Degrees-Of-Freedom approximation in Multiple imputation. Journal of Statistical Computation and Simulation. 72(4). 309–318. 17 indexed citations
12.
Klar, Neil, Stuart R. Lipsitz, Michael Parzen, & Traci Leong. (2002). An exact bootstrap confidence interval for kappa in small samples. Journal of the Royal Statistical Society Series D (The Statistician). 51(4). 467–478. 19 indexed citations
13.
Parzen, Michael & Stuart R. Lipsitz. (1999). A Global Goodness‐of‐Fit Statistic for Cox Regression Models. Biometrics. 55(2). 580–584. 48 indexed citations
14.
Lipsitz, Stuart R., Michael Parzen, & Geert Molenberghs. (1998). Obtaining the Maximum Likelihood Estimates in Incomplete R × C Contingency Tables Using a Poisson Generalized Linear Model. Journal of Computational and Graphical Statistics. 7(3). 356–356. 4 indexed citations
15.
Parzen, Michael, Stuart R. Lipsitz, & Keith Dear. (1998). Does Clustering Affect the Usual Test Statistics of no Treatment Effect in a Randomized Clinical Trial?. Biometrical Journal. 40(4). 385–402. 2 indexed citations
16.
Strawderman, Robert L., Michael Parzen, & Martin T. Wells. (1997). Accurate Confidence Limits for Quantiles under Random Censoring. Biometrics. 53(4). 1399–1399. 7 indexed citations
17.
Parzen, Michael, L. J. Wei, & Z. Ying. (1997). Simultaneous Confidence Intervals for the Difference of Two Survival Functions. Scandinavian Journal of Statistics. 24(3). 309–314. 42 indexed citations
18.
Rudberg, M. A., et al.. (1996). Functional Limitation Pathways and Transitions in Community-Dwelling Older Persons. The Gerontologist. 36(4). 430–440. 29 indexed citations
19.
Lipsitz, Stuart R. & Michael Parzen. (1996). A Jackknife Estimator of Variance for Cox Regression for Correlated Survival Data. Biometrics. 52(1). 291–291. 27 indexed citations
20.
Lipsitz, Stuart R. & Michael Parzen. (1995). Sample Size Calculations for Non-Randomized Studies. Journal of the Royal Statistical Society Series D (The Statistician). 44(1). 81–81. 14 indexed citations

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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