Michael L. Pennell

567 total citations
10 papers, 433 citations indexed

About

Michael L. Pennell is a scholar working on Artificial Intelligence, Statistics and Probability and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael L. Pennell has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael L. Pennell's work include Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Inference (4 papers). Michael L. Pennell is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Inference (4 papers). Michael L. Pennell collaborates with scholars based in United States, South Korea and Malawi. Michael L. Pennell's co-authors include Prabasaj Paul, Stanley Lemeshow, David B. Dunson, Beom Seuk Hwang, David B. Dunson, Gerard Lozanski, Metin N. Gürcan, Kamel Belkacem-Boussaid, Arwa Shana’ah and Electra D. Paskett and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of Clinical Virology.

In The Last Decade

Michael L. Pennell

10 papers receiving 419 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 L. Pennell United States 7 68 67 65 63 45 10 433
Panteha Hayati Rezvan United States 11 82 1.2× 36 0.5× 67 1.0× 47 0.7× 25 0.6× 31 568
Emily M. Mitchell United States 14 128 1.9× 40 0.6× 60 0.9× 49 0.8× 26 0.6× 33 887
Corrado Lanera Italy 14 21 0.3× 65 1.0× 53 0.8× 45 0.7× 98 2.2× 55 534
Dandan Liu United States 11 93 1.4× 30 0.4× 98 1.5× 35 0.6× 112 2.5× 38 507
Jing Huang United States 16 52 0.8× 42 0.6× 153 2.4× 109 1.7× 84 1.9× 87 818
Baoluo Sun United States 9 185 2.7× 45 0.7× 51 0.8× 32 0.5× 21 0.5× 19 561
Justin Slater Canada 9 18 0.3× 41 0.6× 107 1.6× 75 1.2× 59 1.3× 19 486
Brian H Willis United Kingdom 16 35 0.5× 32 0.5× 149 2.3× 148 2.3× 58 1.3× 38 875
Claire Keeble United Kingdom 12 88 1.3× 44 0.7× 69 1.1× 88 1.4× 83 1.8× 29 945
Michelle Smerek United States 7 18 0.3× 65 1.0× 51 0.8× 47 0.7× 33 0.7× 13 332

Countries citing papers authored by Michael L. Pennell

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Pennell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Pennell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Pennell. A scholar is included among the top collaborators of Michael L. Pennell 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 L. Pennell. Michael L. Pennell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Pennell, Michael L., et al.. (2021). Bayesian semiparametric joint modeling of longitudinal explanatory variables of mixed types and a binary outcome. Statistics in Medicine. 41(1). 17–36. 2 indexed citations
2.
Naughton, Michelle J., Michael L. Pennell, Randi E. Foraker, et al.. (2018). Change in longitudinal trends in sleep quality and duration following breast cancer diagnosis: results from the Women’s Health Initiative. npj Breast Cancer. 4(1). 15–15. 12 indexed citations
3.
4.
Hwang, Beom Seuk & Michael L. Pennell. (2013). Semiparametric Bayesian joint modeling of a binary and continuous outcome with applications in toxicological risk assessment. Statistics in Medicine. 33(7). 1162–1175. 12 indexed citations
5.
Paul, Prabasaj, Michael L. Pennell, & Stanley Lemeshow. (2012). Standardizing the power of the Hosmer–Lemeshow goodness of fit test in large data sets. Statistics in Medicine. 32(1). 67–80. 327 indexed citations
6.
Mwapasa, Victor, Michael L. Pennell, Ben Chilima, et al.. (2010). Using a simplified human immunodeficiency virus type 1 p24 antigen assay to diagnose pediatric HIV-infection in Malawi. Journal of Clinical Virology. 49(4). 299–302. 6 indexed citations
7.
Belkacem-Boussaid, Kamel, Michael L. Pennell, Gerard Lozanski, Arwa Shana’ah, & Metin N. Gürcan. (2010). Effect of pathologist agreement on evaluating a computer-aided assisted system: Recognizing centroblast cells in follicular lymphoma cases. 1411–1414. 7 indexed citations
8.
Belkacem-Boussaid, Kamel, Michael L. Pennell, Gerard Lozanski, Arwa Shana’ah, & Metin N. Gürcan. (2010). Computer-aided classification of centroblast cells in follicular lymphoma.. PubMed. 32(5). 254–60. 15 indexed citations
9.
Pennell, Michael L. & David B. Dunson. (2007). Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor. Biometrics. 64(2). 413–423. 12 indexed citations
10.
Pennell, Michael L. & David B. Dunson. (2006). Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data. Biometrics. 62(4). 1044–1052. 38 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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