Geoff Vining

1.3k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Geoff Vining is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Geoff Vining has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 9 papers in Management Science and Operations Research and 9 papers in Statistics and Probability. Recurrent topics in Geoff Vining's work include Advanced Statistical Process Monitoring (9 papers), Optimal Experimental Design Methods (8 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Geoff Vining is often cited by papers focused on Advanced Statistical Process Monitoring (9 papers), Optimal Experimental Design Methods (8 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Geoff Vining collaborates with scholars based in United States, China and Israel. Geoff Vining's co-authors include Charles M. Judd, Gary H. McClelland, Murat Külahçı, Zhen He, Robert V. Hogg, Johannes Ledolter, Guodong Wang, Gordon L. Clark, Alyson G. Wilson and Ronald D. Snee and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Reliability Engineering & System Safety.

In The Last Decade

Geoff Vining

28 papers receiving 937 citations

Hit Papers

Data Analysis: A Model-Comparison Approach 1992 2026 2003 2014 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoff Vining United States 10 218 184 149 136 129 29 1.0k
Siu L. Chow Canada 12 203 0.9× 185 1.0× 175 1.2× 109 0.8× 120 0.9× 40 1.0k
Torrin M. Liddell United States 8 216 1.0× 179 1.0× 247 1.7× 164 1.2× 349 2.7× 12 1.6k
Blakeley B. McShane United States 18 212 1.0× 318 1.7× 262 1.8× 164 1.2× 235 1.8× 40 1.6k
Rink Hoekstra Netherlands 17 112 0.5× 151 0.8× 184 1.2× 287 2.1× 171 1.3× 47 1.6k
Balázs Aczél Hungary 16 182 0.8× 173 0.9× 132 0.9× 43 0.3× 302 2.3× 49 1.2k
Jonathan Nevitt United States 10 333 1.5× 283 1.5× 134 0.9× 149 1.1× 69 0.5× 13 1.4k
John D. Morris United States 15 281 1.3× 146 0.8× 145 1.0× 151 1.1× 111 0.9× 71 1.4k
Amanda N. Baraldi United States 11 308 1.4× 261 1.4× 165 1.1× 152 1.1× 65 0.5× 25 1.7k
Fred S. Switzer United States 19 524 2.4× 306 1.7× 307 2.1× 103 0.8× 137 1.1× 44 2.0k
Schuyler W. Huck United States 13 193 0.9× 178 1.0× 118 0.8× 83 0.6× 81 0.6× 36 1.3k

Countries citing papers authored by Geoff Vining

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Vining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoff Vining

This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Vining. A scholar is included among the top collaborators of Geoff Vining 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 Geoff Vining. Geoff Vining 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.
Wang, Guodong, et al.. (2023). Optimal design for reliability improvement experiments with a non-constant scale parameter. Quality Technology & Quantitative Management. 21(6). 869–886.
2.
Wang, Guodong, et al.. (2022). Process parameter optimization for lifetime improvement experiments considering warranty and customer satisfaction. Reliability Engineering & System Safety. 221. 108369–108369. 10 indexed citations
3.
He, Zhen, et al.. (2022). Simultaneous optimization of quality and censored reliability characteristics with constrained randomization experiment. Quality Technology & Quantitative Management. 19(3). 299–318. 3 indexed citations
4.
Vining, Geoff, et al.. (2021). Within batch non-linear profile monitoring applied to shrimp farming: A case study. Quality Engineering. 33(2). 367–381. 1 indexed citations
5.
Wang, Guodong, et al.. (2021). Dual-response optimization for lifetime improvement experimental designs. Computers & Industrial Engineering. 158. 107437–107437. 7 indexed citations
6.
Hoerl, Roger W. & Geoff Vining. (2020). The journey to establish the discipline of statistical engineering. Applied Stochastic Models in Business and Industry. 37(2). 372–383. 1 indexed citations
7.
He, Zhen, et al.. (2017). Simultaneous optimization of quality and reliability characteristics through designed experiment. Quality Engineering. 29(3). 344–357. 10 indexed citations
8.
Vining, Geoff, et al.. (2016). A tutorial on an iterative approach for generating Shewhart control limits. Quality Engineering. 28(3). 305–312. 5 indexed citations
9.
Vining, Geoff. (2013). Technical Advice: Experimental Protocol and the Basic Principles of Experimental Design. Quality Engineering. 25(3). 307–311. 6 indexed citations
10.
Vining, Geoff. (2013). Technical Advice: Scientific Method and Approaches for Collecting Data. Quality Engineering. 25(2). 194–201. 5 indexed citations
11.
Anderson‐Cook, Christine M., Lu Lu, Gordon L. Clark, et al.. (2012). Statistical Engineering—Roles for Statisticians and the Path Forward. Quality Engineering. 24(2). 133–152. 15 indexed citations
12.
Vining, Geoff. (2011). Technical Advice: Essential Elements for Quality Improvement Programs. Quality Engineering. 23(4). 395–397. 2 indexed citations
13.
Vining, Geoff. (2011). Technical Advice: Design of Experiments, Response Surface Methodology, and Sequential Experimentation. Quality Engineering. 23(2). 217–220. 14 indexed citations
14.
Vining, Geoff. (2010). Technical Advice: Residual Plots to Check Assumptions. Quality Engineering. 23(1). 105–110. 22 indexed citations
15.
Vining, Geoff. (2010). Technical Advice: Statistical Process Control and Automatic/Engineering Process Control. Quality Engineering. 22(3). 222–224. 2 indexed citations
16.
Vining, Geoff. (2009). Technical Advice: Phase I and Phase II Control Charts. Quality Engineering. 21(4). 478–479. 38 indexed citations
17.
Vining, Geoff. (2009). Technical Advice: Industrial Split-Plot Experiments. Quality Engineering. 22(1). 54–57. 2 indexed citations
18.
Cornell, John A., et al.. (1995). Challenges in Teaching Short Courses by an Academic Department: The University of Florida Experience. The American Statistician. 49(2). 195–200. 3 indexed citations
19.
Vining, Geoff, Robert V. Hogg, & Johannes Ledolter. (1993). Applied Statistics for Engineers and Physical Scientists (2nd ed.).. Journal of the American Statistical Association. 88(422). 704–704. 17 indexed citations
20.
Khuri, A. I. & Geoff Vining. (1991). Conditions required for the mean response to fall within specified bounds. Journal of Statistical Planning and Inference. 28(1). 125–136. 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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