Thaddeus Tarpey

2.0k total citations
78 papers, 1.1k citations indexed

About

Thaddeus Tarpey is a scholar working on Statistics and Probability, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Thaddeus Tarpey has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 15 papers in Cognitive Neuroscience. Recurrent topics in Thaddeus Tarpey's work include Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (18 papers) and Bayesian Methods and Mixture Models (15 papers). Thaddeus Tarpey is often cited by papers focused on Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (18 papers) and Bayesian Methods and Mixture Models (15 papers). Thaddeus Tarpey collaborates with scholars based in United States, Canada and Japan. Thaddeus Tarpey's co-authors include Bernard D. Flury, Eva Petkova, R. Todd Ogden, Adam Ciarleglio, Richard D. Sanders, Philip T. Reiss, Lei Huang, Matcheri S. Keshavan, Gérald Goldstein and Steven D. Forman and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Statistics in Medicine.

In The Last Decade

Thaddeus Tarpey

74 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thaddeus Tarpey United States 19 384 338 109 89 79 78 1.1k
Roland Fried Germany 21 462 1.2× 176 0.5× 133 1.2× 68 0.8× 47 0.6× 105 1.7k
Ana‐Maria Staicu United States 19 712 1.9× 265 0.8× 101 0.9× 36 0.4× 49 0.6× 64 1.2k
Ranjan Maitra United States 20 194 0.5× 472 1.4× 162 1.5× 111 1.2× 21 0.3× 73 1.3k
Cinzia Viroli Italy 16 186 0.5× 336 1.0× 43 0.4× 51 0.6× 31 0.4× 54 743
Marloes H. Maathuis Switzerland 20 453 1.2× 832 2.5× 124 1.1× 33 0.4× 68 0.9× 48 2.0k
Mortaza Jamshidian United States 16 516 1.3× 246 0.7× 24 0.2× 34 0.4× 94 1.2× 34 1.3k
Richard M. Golden United States 21 85 0.2× 327 1.0× 137 1.3× 42 0.5× 74 0.9× 66 1.3k
Luo Xiao United States 14 248 0.6× 127 0.4× 42 0.4× 58 0.7× 57 0.7× 56 726
Gunnar Blom Sweden 13 411 1.1× 230 0.7× 69 0.6× 25 0.3× 90 1.1× 46 1.6k
Matthew Reimherr United States 17 465 1.2× 199 0.6× 35 0.3× 24 0.3× 27 0.3× 47 1.1k

Countries citing papers authored by Thaddeus Tarpey

Since Specialization
Citations

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

Fields of papers citing papers by Thaddeus Tarpey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thaddeus Tarpey

This figure shows the co-authorship network connecting the top 25 collaborators of Thaddeus Tarpey. A scholar is included among the top collaborators of Thaddeus Tarpey 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 Thaddeus Tarpey. Thaddeus Tarpey 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.
Sista, Akhilesh K., Andrea B. Troxel, Thaddeus Tarpey, et al.. (2024). Rationale and design of the PE-TRACT trial: A multicenter randomized trial to evaluate catheter-directed therapy for the treatment of intermediate-risk pulmonary embolism. American Heart Journal. 281. 112–122. 5 indexed citations
3.
Yu, Chang, Liise‐anne Pirofski, Hyunah Yoon, et al.. (2024). Association between COVID-19 convalescent plasma antibody levels and COVID-19 outcomes stratified by clinical status at presentation. BMC Infectious Diseases. 24(1). 639–639. 1 indexed citations
4.
Wang, Chan, Jiyoung Ahn, Thaddeus Tarpey, et al.. (2023). A microbial causal mediation analytic tool for health disparity and applications in body mass index. Microbiome. 11(1). 164–164. 3 indexed citations
5.
Jiang, Bei, Eva Petkova, Thaddeus Tarpey, & R. Todd Ogden. (2019). A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies. Biometrics. 76(1). 87–97. 8 indexed citations
6.
Petkova, Eva, et al.. (2019). A single-index model with multiple-links. Journal of Statistical Planning and Inference. 205. 115–128. 4 indexed citations
7.
Bos, Dienke J., et al.. (2019). Adolescent-Specific Motivation Deficits in Autism Versus Typical Development. Journal of Autism and Developmental Disorders. 50(1). 364–372. 9 indexed citations
8.
Jones, Rebecca, et al.. (2018). Smartphone measures of day-to-day behavior changes in children with autism. npj Digital Medicine. 1(1). 34–34. 7 indexed citations
9.
Petkova, Eva, R. Todd Ogden, Thaddeus Tarpey, et al.. (2017). Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study. Contemporary Clinical Trials Communications. 6. 22–30. 21 indexed citations
10.
Jiang, Bei, Eva Petkova, Thaddeus Tarpey, & R. Todd Ogden. (2017). Latent class modeling using matrix covariates with application to identifying early placebo responders based on EEG signals. The Annals of Applied Statistics. 11(3). 1513–1536. 3 indexed citations
11.
Tarpey, Thaddeus & Nicola Loperfido. (2014). Self-consistency and a generalized principal subspace theorem. Journal of Multivariate Analysis. 133. 27–37. 5 indexed citations
12.
Tarpey, Thaddeus, R. Todd Ogden, Eva Petkova, & Ronald Christensen. (2014). A Paradoxical Result in Estimating Regression Coefficients. The American Statistician. 68(4). 271–276. 9 indexed citations
13.
Tarpey, Thaddeus. (2011). On the Meaning of Parameters in Approximation Models. Journal of Bioresource Management. 9(2). 139. 2 indexed citations
14.
Tarpey, Thaddeus & Eva Petkova. (2010). Latent regression analysis. Statistical Modelling. 10(2). 133–158. 10 indexed citations
15.
Petkova, Eva, Thaddeus Tarpey, & Usha Govindarajulu. (2009). Predicting Potential Placebo Effect in Drug Treated Subjects. The International Journal of Biostatistics. 5(1). Article 23–Article 23. 7 indexed citations
16.
Tarpey, Thaddeus & Richard D. Sanders. (2004). Linear Conditional Expectation for Discretized Distributions. Journal of Applied Statistics. 31(3). 361–372. 3 indexed citations
17.
Goldstein, Gérald, Richard D. Sanders, Steven D. Forman, et al.. (2004). The effects of antipsychotic medication on factor and cluster structure of neurologic examination abnormalities in schizophrenia. Schizophrenia Research. 75(1). 55–64. 11 indexed citations
18.
Tarpey, Thaddeus. (2003). Estimating the Average Slope. Journal of Applied Statistics. 30(4). 389–395. 2 indexed citations
19.
Tarpey, Thaddeus. (1998). Self-Consistent Patterns for Symmetric Multivariate Distributions. Journal of Classification. 15(1). 57–79. 20 indexed citations
20.
Flury, Bernard D. & Thaddeus Tarpey. (1993). Representing a Large Collection of Curves: A Case for Principal Points. The American Statistician. 47(4). 304–306. 18 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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