2026 William H. Woodall: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	74	216	183	122	98	187	23122

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

216

183

122

187

23122

Research.com Recognitions

2026 - Research.com Mathematics in United States Leader Award
2002 - Shewhart Medal
1997 - Fellow of the American Statistical Association (ASA)

Overview

William H. Woodall is affiliated with Virginia Tech in the United States. Their research primarily focuses on decision sciences, with an emphasis on advanced statistical process monitoring and related fields.

Their main areas of study include:

Decision Sciences

More specifically, their work delves into the following subfields:

Statistics, Probability and Uncertainty
Statistics and Probability
Control and Systems Engineering
Medical Laboratory Technology
Management Science and Operations Research

The scientific topics frequently addressed in their research are:

Advanced Statistical Process Monitoring
Scientific Measurement and Uncertainty Evaluation
Advanced Statistical Methods and Models
Fault Detection and Control Systems
Quality and Safety in Healthcare
Pesticide Residue Analysis and Safety
Fuzzy Systems and Optimization

William H. Woodall has published in several prominent venues, including:

Quality and Reliability Engineering International
Quality Engineering
Journal of Quality Technology
Quality Technology & Quantitative Management
IEEE Access

Their recent papers are:

"An overview and critique of the use of cumulative sum methods with surgical learning curve data", 2020, Statistics in Medicine
"The impracticality of homogeneously weighted moving average and progressive mean control chart approaches", 2021, Quality and Reliability Engineering International
"Monitoring univariate processes using control charts: Some practical issues and advice", 2023, Quality Engineering
"On the design of control charts with guaranteed conditional performance under estimated parameters", 2020, Quality and Reliability Engineering International
"The role of the normal distribution in statistical process monitoring", 2021, Quality Engineering

Frequent co-authors in William H. Woodall's research include:

Abdul Haq
Nesma A. Saleh
Mahmoud A. Mahmoud
Sven Knoth
Víctor G. Tercero-Gómez

William H. Woodall has received recognition in the field with awards including:

Shewhart Medal (2002)
Fellow of the American Statistical Association (ASA) (1997)

Best Publications

Exponentially weighted moving average control schemes: properties and enhancements

James M. Lucas;Michael S. Saccucci;Robert V. Baxley;William H. Woodall

2328
Citations
A multivariate exponentially weighted moving average control chart

Cynthia A. Lowry;William H. Woodall;Charles W. Champ;Steven E. Rigdon

1731
Citations
Research Issues and Ideas in Statistical Process Control

William H. Woodall;Douglas C. Montgomery

855
Citations
Effects of parameter estimation on control chart properties: A literature review

Willis A Jensen;L Allison Jones-Farmer;Charles W Champ;William H. Woodall

763
Citations
Controversies and Contradictions in Statistical Process Control

William H. Woodall

736
Citations
Using Control Charts to Monitor Process and Product Quality Profiles

William H. Woodall;Dan J. Spitzner;Douglas C. Montgomery;Shilpa Gupta

686
Citations
On the Monitoring of Linear Profiles

Keunpyo Kim;Mahmoud A. Mahmoud;William H. Woodall

663
Citations
Multivariate CUSUM Quality- Control Procedures

William H. Woodall;Matoteng M. Ncube

608
Citations
Exact results for shewhart control charts with supplementary runs rules

Charles W. Champ;William H. Woodall

600
Citations
Phase I Analysis of Linear Profiles With Calibration Applications

Mahmoud A Mahmoud;William H Woodall

450
Citations
Current research on profile monitoring

William H. Woodall

421
Citations
A change point method for linear profile data

Mahmoud A. Mahmoud;Peter A. Parker;William H. Woodall;Douglas M. Hawkins

407
Citations
Some current directions in the theory and application of statistical process monitoring

William H. Woodall;Douglas C. Montgomery

394
Citations
An Overview of Six Sigma

Douglas C. Montgomery;William H. Woodall

385
Citations
A Comparison of Multivariate Control Charts for Individual Observations

Joe H. Sullivan;William H. Woodall

369
Citations
Statistical monitoring of nonlinear product and process quality profiles

James D. Williams;William H. Woodall;Jeffrey B. Birch

365
Citations
A comparison of fuzzy forecasting and Markov modeling

Joe Sullivan;William H. Woodall

365
Citations
The State of Statistical Process Control as We Proceed into the 21st Century

Zachary G. Stoumbos;Marion R. Reynolds;Thomas P. Ryan;William H. Woodall

346
Citations
A review and analysis of cause-selecting control charts

Mark R. Wade;William H. Woodall

342
Citations
Weaknesses of The Economic Design of Control Charts

William H. Woodall

341
Citations
Introduction to Statistical Quality Control, Fifth Edition

William H. Woodall

101
Citations

Frequent Co-Authors

Kwok-Leung Tsui Virginia Tech

Marion R. Reynolds Virginia Tech

Douglas C. Montgomery Arizona State University

Andrew Gelman Columbia University

Michael J. Campbell University of Sheffield

Deborah Ashby Imperial College London

Jon Nicholl University of Sheffield

Ronald J. M. M. Does University of Amsterdam

Stephen E. Fienberg Carnegie Mellon University

Alfred Stein University of Twente

External Links

Personal website of William H. Woodall Google Scholar page

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