Scott D. Grimshaw

3.4k total citations · 1 hit paper
33 papers, 2.2k citations indexed

About

Scott D. Grimshaw is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics. According to data from OpenAlex, Scott D. Grimshaw has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 9 papers in Statistics, Probability and Uncertainty and 7 papers in Economics and Econometrics. Recurrent topics in Scott D. Grimshaw's work include Advanced Statistical Process Monitoring (9 papers), Advanced Statistical Methods and Models (6 papers) and Scientific Measurement and Uncertainty Evaluation (6 papers). Scott D. Grimshaw is often cited by papers focused on Advanced Statistical Process Monitoring (9 papers), Advanced Statistical Methods and Models (6 papers) and Scientific Measurement and Uncertainty Evaluation (6 papers). Scott D. Grimshaw collaborates with scholars based in United States, Australia and Germany. Scott D. Grimshaw's co-authors include Robert Tibshirani, Bradley Efron, William P. Alexander, Grant McQueen, Barrett A. Slade, Frank B. Alt, Willis A. Jensen, Bruce Jay Collings, Wayne A. Larsen and Jeffrey Larson and has published in prestigious journals such as Technometrics, Biometrics and Archives of Disease in Childhood.

In The Last Decade

Scott D. Grimshaw

33 papers receiving 2.1k citations

Hit Papers

An Introduction to the Bootstrap 1995 2026 2005 2015 1995 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott D. Grimshaw United States 14 394 311 240 219 213 33 2.2k
Michael R. Chernick United States 27 458 1.2× 234 0.8× 238 1.0× 207 0.9× 149 0.7× 67 3.4k
Brani Vidaković United States 30 457 1.2× 292 0.9× 217 0.9× 179 0.8× 126 0.6× 128 3.2k
S. Fotopoulos United States 22 397 1.0× 442 1.4× 132 0.6× 174 0.8× 99 0.5× 123 2.2k
J. Brian Gray United States 15 470 1.2× 178 0.6× 224 0.9× 99 0.5× 190 0.9× 33 2.7k
Andrew A. Neath United States 11 550 1.4× 392 1.3× 177 0.7× 83 0.4× 151 0.7× 31 2.3k
Anja Struyf Belgium 21 356 0.9× 187 0.6× 323 1.3× 166 0.8× 190 0.9× 26 1.9k
Clive Loader United States 14 787 2.0× 404 1.3× 276 1.1× 141 0.6× 157 0.7× 22 2.3k
Anders Brix United Kingdom 14 536 1.4× 416 1.3× 395 1.6× 148 0.7× 106 0.5× 23 2.8k
Idris A. Eckley United Kingdom 14 355 0.9× 470 1.5× 281 1.2× 140 0.6× 137 0.6× 62 3.0k
Richard A. Groeneveld United States 14 637 1.6× 245 0.8× 203 0.8× 236 1.1× 248 1.2× 45 2.9k

Countries citing papers authored by Scott D. Grimshaw

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Grimshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott D. Grimshaw

This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Grimshaw. A scholar is included among the top collaborators of Scott D. Grimshaw 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 D. Grimshaw. Scott D. Grimshaw 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.
Grimshaw, Scott D., et al.. (2024). Unbiased process capability estimation for autocorrelated data using exhaustive systematic sampling. Quality and Reliability Engineering International. 40(7). 4038–4067. 1 indexed citations
2.
Grimshaw, Scott D.. (2023). Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator. Journal of Quality Technology. 55(3). 349–365. 6 indexed citations
3.
Grimshaw, Scott D. & Jeffrey Larson. (2020). Effect of Star Power on NBA All-Star Game TV Audience. Journal of Sports Economics. 22(2). 139–163. 10 indexed citations
4.
Jensen, Willis A., et al.. (2016). Nonlinear Profile Monitoring for Oven-Temperature Data. Journal of Quality Technology. 48(1). 84–97. 21 indexed citations
5.
Grimshaw, Scott D.. (2015). A Framework for Infusing Authentic Data Experiences Within Statistics Courses. The American Statistician. 69(4). 307–314. 15 indexed citations
6.
Grimshaw, Scott D., Natalie J. Blades, & Michael Miles. (2014). Spatial control charts for the mean. Quality Engineering. 59(1). 25–26. 1 indexed citations
7.
Grimshaw, Scott D. & William P. Alexander. (2010). Markov chain models for delinquency: Transition matrix estimation and forecasting. Applied Stochastic Models in Business and Industry. 27(3). 267–279. 28 indexed citations
8.
Cornia, Gary C., Scott D. Grimshaw, Ray D. Nelson, & Lawrence C. Walters. (2010). The Effect of Local Option Sales Taxes on Local Sales. Public Finance Review. 38(6). 659–681. 10 indexed citations
9.
Grimshaw, Scott D., et al.. (2004). Twenty Years of the Utah Colleges Exit Poll: Learning by Doing. CHANCE. 17(2). 32–38. 8 indexed citations
10.
Alexander, William P., Scott D. Grimshaw, Grant McQueen, & Barrett A. Slade. (2002). Some Loans Are More Equal than Others: Third–Party Originations and Defaults in the Subprime Mortgage Industry. Real Estate Economics. 30(4). 667–697. 54 indexed citations
11.
Grimshaw, Scott D., et al.. (2001). Likelihood Ratio Tests for a Mixture of Two von Mises Distributions. Biometrics. 57(1). 260–265. 13 indexed citations
12.
Lawson, John, et al.. (1998). A quantitative method for identifying active contrasts in unreplicated factorial designs based on the half-normal plot. Computational Statistics & Data Analysis. 26(4). 425–436. 12 indexed citations
13.
Grimshaw, Scott D., et al.. (1998). Real-Time Process Monitoring for Changing Inputs. Technometrics. 40(4). 283–283. 2 indexed citations
14.
Grimshaw, Scott D. & Frank B. Alt. (1997). Control Charts for Quantile Function Values. Journal of Quality Technology. 29(1). 1–7. 23 indexed citations
15.
Alexander, William P. & Scott D. Grimshaw. (1996). Treed Regression. Journal of Computational and Graphical Statistics. 5(2). 156–156. 15 indexed citations
16.
Alexander, William P. & Scott D. Grimshaw. (1996). Treed Regression. Journal of Computational and Graphical Statistics. 5(2). 156–175. 32 indexed citations
17.
Grimshaw, Scott D.. (1995). An Introduction to the Bootstrap. Technometrics. 37(3). 340–341. 104 indexed citations
18.
Grimshaw, Scott D.. (1993). Computing Maximum Likelihood Estimates for the Generalized Pareto Distribution. Technometrics. 35(2). 185–191. 151 indexed citations
19.
Grimshaw, Scott D.. (1992). Estimation of the linear-plateau segmented regression model in the presence of measurement error. Communication in Statistics- Theory and Methods. 21(8). 2399–2413. 3 indexed citations
20.
Grimshaw, Scott D.. (1990). A unification of tail estimators. Communication in Statistics- Theory and Methods. 19(12). 4841–4857. 2 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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