Matthew Plumlee

679 total citations
35 papers, 415 citations indexed

About

Matthew Plumlee is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Matthew Plumlee has authored 35 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 19 papers in Computational Theory and Mathematics and 15 papers in Statistics, Probability and Uncertainty. Recurrent topics in Matthew Plumlee's work include Advanced Multi-Objective Optimization Algorithms (19 papers), Simulation Techniques and Applications (13 papers) and Probabilistic and Robust Engineering Design (12 papers). Matthew Plumlee is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (19 papers), Simulation Techniques and Applications (13 papers) and Probabilistic and Robust Engineering Design (12 papers). Matthew Plumlee collaborates with scholars based in United States, Russia and Philippines. Matthew Plumlee's co-authors include V. Roshan Joseph, Rui Tuo, Stefan M. Wild, Daniel W. Apley, Hui Yang, Ulrich Heinz, W. Nazarewicz, Scott Pratt, Frédéri Viens and Daniel R. Phillips and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Matthew Plumlee

34 papers receiving 409 citations

Peers

Matthew Plumlee

CTM

SPU

MSOR

NHEP

Maria Rightley United States

Simon Mak United States

Tiangang Cui Australia

Claudia Schillings Germany

Aretha L. Teckentrup United Kingdom

E. Chojnacki United States

Dirk Pflüger Germany

E.M. Oblow United States

Ernesto E. Prudencio United States

Patrick R. Conrad United States

Maria Rightley United States

Matthew Plumlee

188 ×1.3

CTM

264 ×1.9

SPU

140 ×1.1

117 ×1.1

MSOR

23 ×0.4

NHEP

Citations per year, relative to Matthew Plumlee Matthew Plumlee (= 1×) peers Maria Rightley

Countries citing papers authored by Matthew Plumlee

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Plumlee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Plumlee

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

All Works

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20 of 20 papers shown

Chan, M., Matthew Plumlee, & Stefan M. Wild. (2023). Constructing a Simulation Surrogate with Partially Observed Output. Technometrics. 66(1). 1–13. 5 indexed citations

Plumlee, Matthew, et al.. (2023). Inferring sources of substandard and falsified products in pharmaceutical supply chains. IISE Transactions. 56(3). 241–256. 1 indexed citations

Nelson, Barry L., et al.. (2022). A Classification Method for Ranking and Selection with Covariates. 2022 Winter Simulation Conference (WSC). 1–12. 2 indexed citations

Tao, Siyu, Daniel W. Apley, Matthew Plumlee, & Wei Chen. (2021). Latent variable Gaussian process models: A rank‐based analysis and an alternative approach. International Journal for Numerical Methods in Engineering. 122(15). 4007–4026. 2 indexed citations

Phillips, Daniel R., R. J. Furnstahl, Ulrich Heinz, et al.. (2021). Get on the BAND Wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics. Journal of Physics G Nuclear and Particle Physics. 48(7). 72001–72001. 61 indexed citations

Taflanidis, Alexandros A., Matthew Plumlee, Elaine T. Spiller, et al.. (2021). Improvements in storm surge surrogate modeling for synthetic storm parameterization, node condition classification and implementation to small size databases. Natural Hazards. 109(2). 1349–1386. 16 indexed citations

Plumlee, Matthew, et al.. (2021). High-fidelity hurricane surge forecasting using emulation and sequential experiments. The Annals of Applied Statistics. 15(1). 21 indexed citations

Beek, Anton van, Siyu Tao, TeYu Chien, et al.. (2020). Scalable Objective-Driven Batch Sampling in Simulation-Based Design for Models With Heteroscedastic Noise. 2 indexed citations

Plumlee, Matthew, et al.. (2020). Revisiting Subset Selection. 2972–2983. 6 indexed citations

10.

Beek, Anton van, Siyu Tao, TeYu Chien, et al.. (2020). Scalable Adaptive Batch Sampling in Simulation-Based Design With Heteroscedastic Noise. Journal of Mechanical Design. 143(3). 10 indexed citations

11.

Wang, Wenjia, et al.. (2019). Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments. Journal of the American Statistical Association. 115(530). 908–919. 11 indexed citations

12.

Ankenman, Bruce E., et al.. (2018). Gradient based criteria for sequential design. Winter Simulation Conference. 467–478. 3 indexed citations

13.

Plumlee, Matthew & Barry L. Nelson. (2018). Plausible optima. Winter Simulation Conference. 2 indexed citations

14.

Plumlee, Matthew & Barry L. Nelson. (2018). PLAUSIBLE OPTIMA. 2018 Winter Simulation Conference (WSC). 1981–1992. 4 indexed citations

15.

Ankenman, Bruce E., et al.. (2018). GRADIENT BASED CRITERIA FOR SEQUENTIAL DESIGN. 2018 Winter Simulation Conference (WSC). 467–478. 4 indexed citations

16.

Plumlee, Matthew & Henry Lam. (2016). Learning stochastic model discrepancy. 2016 Winter Simulation Conference (WSC). 413–424. 1 indexed citations

17.

Plumlee, Matthew. (2016). Bayesian Calibration of Inexact Computer Models. Journal of the American Statistical Association. 112(519). 1274–1285. 88 indexed citations

18.

Plumlee, Matthew, Ran Jin, V. Roshan Joseph, & Jianjun Shi. (2013). Gaussian process modeling for engineered surfaces with applications to Si wafer production. Stat. 2(1). 159–170. 10 indexed citations

19.

Plumlee, Matthew, et al.. (2013). Comment: Alternative Strategies for Experimental Design. Technometrics. 55(3). 289–292. 3 indexed citations

20.

Plumlee, Matthew & Jianjun Shi. (2013). Estimating spatial and temporal patterns of defects. Manufacturing Letters. 1(1). 25–27. 1 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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