Jean D. Opsomer

3.9k total citations · 1 hit paper
77 papers, 2.2k citations indexed

About

Jean D. Opsomer is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Jean D. Opsomer has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 14 papers in Economics and Econometrics. Recurrent topics in Jean D. Opsomer's work include Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (29 papers) and Bayesian Methods and Mixture Models (14 papers). Jean D. Opsomer is often cited by papers focused on Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (29 papers) and Bayesian Methods and Mixture Models (14 papers). Jean D. Opsomer collaborates with scholars based in United States, Spain and Germany. Jean D. Opsomer's co-authors include F. Jay Breidt, David Ruppert, Göran Kauermann, Gerda Claeskens, Yuhong Yang, Yuedong Wang, Mario Francisco‐Fernández, Tatyana Krivobokova, Peter Hall and Gretchen G. Moisen and has published in prestigious journals such as JAMA, Journal of the American Statistical Association and Environmental Science & Technology.

In The Last Decade

Jean D. Opsomer

72 papers receiving 2.1k citations

Hit Papers

Estimates of SARS-CoV-2 Seroprevalence and Incidence of P... 2023 2026 2024 2025 2023 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Estimates of SARS-CoV-2 Seroprevalence and Incidence of Primary SARS-CoV-2 Infections Among Blood Donors, by COVID-19 Vaccination Status — United States, April 2021–September 2022
    2023 72 citations Jefferson M. Jones, Mars Stone et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean D. Opsomer United States 25 1.1k 350 334 312 255 77 2.2k
Sujit K. Ghosh United States 27 763 0.7× 175 0.5× 344 1.0× 379 1.2× 553 2.2× 159 2.6k
C. B. Dean Canada 25 774 0.7× 124 0.4× 417 1.2× 281 0.9× 448 1.8× 78 2.5k
Bengt Swensson Canada 3 1.1k 1.0× 426 1.2× 343 1.0× 363 1.2× 204 0.8× 7 2.3k
Jan Wretman Canada 6 1.2k 1.1× 432 1.2× 379 1.1× 396 1.3× 207 0.8× 8 2.5k
Dale L. Zimmerman United States 28 424 0.4× 973 2.8× 654 2.0× 374 1.2× 420 1.6× 93 3.2k
Sigrunn H. Sørbye Norway 11 329 0.3× 197 0.6× 343 1.0× 195 0.6× 291 1.1× 33 1.8k
Sujit K. Sahu United Kingdom 26 1.2k 1.1× 436 1.2× 465 1.4× 784 2.5× 256 1.0× 82 2.8k
Wenceslao González–Manteiga Spain 31 1.8k 1.7× 403 1.2× 448 1.3× 619 2.0× 246 1.0× 172 3.1k
Jiming Jiang United States 27 1.2k 1.1× 168 0.5× 446 1.3× 387 1.2× 81 0.3× 112 2.7k
Ioannis Ntzoufras Greece 20 894 0.8× 59 0.2× 561 1.7× 530 1.7× 109 0.4× 72 2.7k

Countries citing papers authored by Jean D. Opsomer

Since Specialization
Citations

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

Fields of papers citing papers by Jean D. Opsomer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean D. Opsomer. 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 Jean D. Opsomer. The network helps show where Jean D. Opsomer may publish in the future.

Co-authorship network of co-authors of Jean D. Opsomer

This figure shows the co-authorship network connecting the top 25 collaborators of Jean D. Opsomer. A scholar is included among the top collaborators of Jean D. Opsomer 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 Jean D. Opsomer. Jean D. Opsomer 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.
Jones, Jefferson M., Eduard Grebe, Mars Stone, et al.. (2025). Estimated US Trends in SARS-CoV-2 Spike Antibody Concentrations and Correlation to Risk of First-Time Infections Based on Blood Donations, 2022. The Journal of Infectious Diseases. 232(6). 1302–1308.
2.
3.
Wei, Stanley C., Kristie E.N. Clarke, Miriam E. Van Dyke, et al.. (2023). Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020–November 2021. The Journal of Infectious Diseases. 229(1). 122–132. 5 indexed citations
4.
Basner, Mathias, Ian Barnett, Michele M. Carlin, et al.. (2023). Effects of Aircraft Noise on Sleep: Federal Aviation Administration National Sleep Study Protocol. International Journal of Environmental Research and Public Health. 20(21). 7024–7024. 3 indexed citations
5.
Opsomer, Jean D., Sylvia Dohrmann, Andrea Piesse, et al.. (2023). Update to the design and methods of the PATH Study, Wave 4 (2016–2017). Tobacco Control. 33(6). 733–738. 9 indexed citations
6.
Opsomer, Jean D., et al.. (2022). Statistical data integration using multilevel models to predict employee compensation. Canadian Journal of Statistics. 51(1). 312–326. 1 indexed citations
7.
Lennert‐Cody, Cleridy E., Marti L. McCracken, Ricardo Oliveros‐Ramos, et al.. (2022). Single-cluster systematic sampling designs for shark catch size composition in a Central American longline fishery. Fisheries Research. 251. 106320–106320. 3 indexed citations
8.
9.
Breidt, F. Jay, et al.. (2016). Variational approximations for selecting hierarchical models of circular data in a small area estimation application. Statistics in Transition New Series. 17(1). 91–104. 1 indexed citations
10.
Opsomer, Jean D., et al.. (2016). Successive Difference Replication Variance Estimation in Two-Phase Sampling. Journal of Survey Statistics and Methodology. 4(1). 43–70. 5 indexed citations
11.
Breidt, F. Jay, et al.. (2016). Hierarchical Bayesian small area estimation for circular data. Canadian Journal of Statistics. 44(4). 416–430. 3 indexed citations
12.
Zimmerle, Daniel, Laurie Williams, Timothy Vaughn, et al.. (2015). Methane Emissions from the Natural Gas Transmission and Storage System in the United States. Environmental Science & Technology. 49(15). 9374–9383. 137 indexed citations
13.
Johnson, Alicia A., F. Jay Breidt, & Jean D. Opsomer. (2010). Estimating distribution functions from survey data using nonparametric regression. Quality Engineering. 55(1). 111–113.
14.
Francisco‐Fernández, Mario & Jean D. Opsomer. (2005). Smoothing parameter selection methods for nonparametric regression with spatially correlated errors. Canadian Journal of Statistics. 33(2). 279–295. 39 indexed citations
15.
Hall, Peter & Jean D. Opsomer. (2005). Theory for penalised spline regression. Biometrika. 92(1). 105–118. 66 indexed citations
16.
Opsomer, Jean D.. (2000). Asymptotic Properties of Backfitting Estimators. Journal of Multivariate Analysis. 73(2). 166–179. 97 indexed citations
17.
Opsomer, Jean D., David Ruppert, M. P. Wand, Ulla Holst, & Ola Hössjer. (1999). Kriging with Nonparametric Variance Function Estimation. Biometrics. 55(3). 704–710. 24 indexed citations
18.
Opsomer, Jean D. & David Ruppert. (1999). A Root-nConsistent Backfitting Estimator for Semiparametric Additive Modeling. Journal of Computational and Graphical Statistics. 8(4). 715–732. 69 indexed citations
19.
Opsomer, Jean D. & David Ruppert. (1998). A Fully Automated Bandwidth Selection Method for Fitting Additive Models. Journal of the American Statistical Association. 93(442). 605–619. 44 indexed citations
20.
Opsomer, Jean D. & David Ruppert. (1998). A Fully Automated Bandwidth Selection Method for Fitting Additive Models. Journal of the American Statistical Association. 93(442). 605–605. 12 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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