Scott Vander Wiel

2.2k total citations
51 papers, 1.2k citations indexed

About

Scott Vander Wiel is a scholar working on Statistics, Probability and Uncertainty, Radiation and Aerospace Engineering. According to data from OpenAlex, Scott Vander Wiel has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics, Probability and Uncertainty, 14 papers in Radiation and 14 papers in Aerospace Engineering. Recurrent topics in Scott Vander Wiel's work include Nuclear Physics and Applications (14 papers), Nuclear reactor physics and engineering (14 papers) and Advanced Statistical Process Monitoring (10 papers). Scott Vander Wiel is often cited by papers focused on Nuclear Physics and Applications (14 papers), Nuclear reactor physics and engineering (14 papers) and Advanced Statistical Process Monitoring (10 papers). Scott Vander Wiel collaborates with scholars based in United States, Germany and Canada. Scott Vander Wiel's co-authors include Jin Cao, William T. Tucker, Frederick W. Faltin, Bin Yu, Lawrence G. Votta, Necip Doganaksoy, Bin Yu, William Q. Meeker, Stephen G. Eick and Mei Long and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Scott Vander Wiel

45 papers receiving 1.1k citations

Peers

Scott Vander Wiel

SPU

CNC

CSE

Ali Muhammad Ali Rushdi Saudi Arabia

Vladimir Rykov Russia

S.P. Sharma India

Lixia Liu China

Eric Chu United States

Michel Kieffer France

Marvin K. Nakayama United States

G. Lorden United States

Philippe Pébaÿ United States

András Horváth Italy

Ali Muhammad Ali Rushdi Saudi Arabia

Scott Vander Wiel

217 ×0.5

SPU

77 ×0.2

CNC

78 ×0.3

CSE

50 ×0.2

21 ×0.1

Citations per year, relative to Scott Vander Wiel Scott Vander Wiel (= 1×) peers Ali Muhammad Ali Rushdi

Countries citing papers authored by Scott Vander Wiel

Since Specialization

Citations

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

Fields of papers citing papers by Scott Vander Wiel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Vander Wiel. 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 Scott Vander Wiel. The network helps show where Scott Vander Wiel may publish in the future.

Co-authorship network of co-authors of Scott Vander Wiel

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Vander Wiel. A scholar is included among the top collaborators of Scott Vander Wiel 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 Scott Vander Wiel. Scott Vander Wiel 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

Neudecker, Denise, Theresa Cutler, M. Devlin, et al.. (2025). Machine Learning to Select Experiments Driven by Fundamental Science and Applications for Targeted Nuclear Data Improvement. Physical Review X. 15(2).

Neudecker, Denise, et al.. (2025). Machine learning-assisted identification of potential sources of bias in measurements of prompt-fission neutron spectra. Computer Physics Communications. 315. 109698–109698. 1 indexed citations

Wiel, Scott Vander, et al.. (2024). Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models. Technometrics. 67(1). 133–146.

Michaud, Isaac, Michael Grosskopf, Jesson Hutchinson, & Scott Vander Wiel. (2024). Expert‐in‐the‐loop design of integral nuclear data experiments. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(2). 1 indexed citations

Neudecker, Denise, Michael Grosskopf, Theresa Cutler, et al.. (2023). Understanding the impact of nuclear-data covariances on various integral responses using adjustment. SHILAP Revista de lepidopterología. 281. 7–7. 1 indexed citations

Wiel, Scott Vander, et al.. (2023). Discovering Active Subspaces for High-Dimensional Computer Models. Journal of Computational and Graphical Statistics. 33(3). 896–908. 1 indexed citations

Wiel, Scott Vander, Michael Grosskopf, Isaac Michaud, & Denise Neudecker. (2023). Driving mode analysis—How uncertain functional inputs propagate to an output. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(1).

Weaver, Brian & Scott Vander Wiel. (2023). Accelerated Event Times with Multiple Thresholds. Technometrics. 65(4). 502–513.

Neudecker, Denise, et al.. (2023). How can a diverse set of integral and semi-integral measurements inform identification of discrepant nuclear data?. EPJ Web of Conferences. 284. 15004–15004. 1 indexed citations

10.

Neudecker, Denise, Ó. Cabellos, Michael Grosskopf, et al.. (2021). Informing nuclear physics via machine learning methods with differential and integral experiments. Physical review. C. 104(3). 20 indexed citations

11.

Bronkhorst, Curt A., et al.. (2020). Local micro-mechanical stress conditions leading to pore nucleation during dynamic loading. International Journal of Plasticity. 137. 102903–102903. 25 indexed citations

12.

Osthus, Dave, Scott Vander Wiel, N. M. Hoffman, & F. J. Wysocki. (2019). Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments. SIAM/ASA Journal on Uncertainty Quantification. 7(2). 604–633. 11 indexed citations

13.

Garcia, Manuel, et al.. (2015). Line Outage Localization Using Phasor Measurement Data in Transient State. IEEE Transactions on Power Systems. 31(4). 3019–3027. 25 indexed citations

14.

Storlie, Curtis B., et al.. (2014). Stochastic identification of malware with dynamic traces. The Annals of Applied Statistics. 8(1). 15 indexed citations

15.

Michalak, Sarah, et al.. (2012). Developing Systems for Real-Time Streaming Analysis. Journal of Computational and Graphical Statistics. 21(3). 561–580. 8 indexed citations

16.

Cao, Jin, Scott Vander Wiel, Bin Yu, & Zhengyuan Zhu. (2007). A Scalable Method for Estimating Network Traffic Matrices from Link Counts. 9 indexed citations

17.

Liu, Chuanhai & Scott Vander Wiel. (2007). Statistical Quasi-Newton: A New Look at Least Change. SIAM Journal on Optimization. 18(4). 1266–1285. 4 indexed citations

18.

Wiel, Scott Vander. (1996). Monitoring Processes That Wander Using Integrated Moving Average Models. Technometrics. 38(2). 139–151. 60 indexed citations

19.

Wiel, Scott Vander. (1996). Monitoring Processes That Wander Using Integrated Moving Average Models. Technometrics. 38(2). 139–139. 93 indexed citations

20.

Wiel, Scott Vander & Stephen B. Vardeman. (1994). A Discussion of All-or-None Inspection Policies. Technometrics. 36(1). 102–109. 17 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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