Charles W. Champ

4.6k total citations · 1 hit paper
52 papers, 3.5k citations indexed

About

Charles W. Champ is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Medical Laboratory Technology. According to data from OpenAlex, Charles W. Champ has authored 52 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics, Probability and Uncertainty, 16 papers in Statistics and Probability and 11 papers in Medical Laboratory Technology. Recurrent topics in Charles W. Champ's work include Advanced Statistical Process Monitoring (45 papers), Scientific Measurement and Uncertainty Evaluation (33 papers) and Advanced Statistical Methods and Models (15 papers). Charles W. Champ is often cited by papers focused on Advanced Statistical Process Monitoring (45 papers), Scientific Measurement and Uncertainty Evaluation (33 papers) and Advanced Statistical Methods and Models (15 papers). Charles W. Champ collaborates with scholars based in United States, Spain and Germany. Charles W. Champ's co-authors include William H. Woodall, Steven E. Rigdon, Cynthia A. Lowry, L. Allison Jones‐Farmer, L. Allison Jones, Willis A. Jensen, Connie M. Borror, Stefan H. Steiner, Francisco Aparisi and Victoria Jordan and has published in prestigious journals such as Technometrics, Nonlinear Analysis and Journal of Quality Technology.

In The Last Decade

Charles W. Champ

48 papers receiving 3.3k citations

Hit Papers

A Multivariate Exponentially Weighted Moving Average Cont... 1992 2026 2003 2014 1992 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Multivariate Exponentially Weighted Moving Average Control Chart
    1992 856 citations Cynthia A. Lowry, William H. Woodall et al. Technometrics profile →

Peers

Charles W. Champ
Zachary G. Stoumbos United States
Amirhossein Amiri Iran
Mahmoud A. Mahmoud Egypt
Zhaojun Wang China
Philippe Castagliola France
Rassoul Noorossana Iran
Giovanni Celano Italy
Changliang Zou China
Ronald B. Crosier United States
Cynthia A. Lowry United States
Zachary G. Stoumbos United States
Charles W. Champ
Citations per year, relative to Charles W. Champ Charles W. Champ (= 1×) peers Zachary G. Stoumbos

Countries citing papers authored by Charles W. Champ

Since Specialization
Citations

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

Fields of papers citing papers by Charles W. Champ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles W. Champ. 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 Charles W. Champ. The network helps show where Charles W. Champ may publish in the future.

Co-authorship network of co-authors of Charles W. Champ

This figure shows the co-authorship network connecting the top 25 collaborators of Charles W. Champ. A scholar is included among the top collaborators of Charles W. Champ 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 Charles W. Champ. Charles W. Champ 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.
Rigdon, Steven E., Charles W. Champ, & Sven Knoth. (2024). Comparisons of steady‐state optimal EWMA and DEWMA charts. Quality and Reliability Engineering International. 40(5). 2680–2694.
2.
Rigdon, Steven E., et al.. (2012). Using Runs Rules to Monitor an Attribute Chart for a Markov Process. Quality Technology & Quantitative Management. 9(4). 383–406. 9 indexed citations
3.
Jones‐Farmer, L. Allison & Charles W. Champ. (2010). A Distribution-Free Phase I Control Chart for Subgroup Scale. Journal of Quality Technology. 42(4). 373–387. 33 indexed citations
4.
Jensen, Willis A., L. Allison Jones‐Farmer, Charles W. Champ, & William H. Woodall. (2007). Effects of parameter estimation on control chart properties: A literature review. Quality Engineering. 52(3). 245–248. 17 indexed citations
5.
Champ, Charles W. & L. Allison Jones‐Farmer. (2007). Properties of Multivariate Control Charts with Estimated Parameters. Sequential Analysis. 26(2). 153–169. 20 indexed citations
6.
Champ, Charles W. & L. Allison Jones. (2004). Designing Phase I ―X Charts with Small Sample Sizes. Quality and Reliability Engineering International. 20(5). 497–510. 31 indexed citations
7.
Aparisi, Francisco, Charles W. Champ, & J. Carlos Garcı́a-Dı́az. (2004). A Performance Analysis of Hotelling's χ 2 Control Chart with Supplementary Runs Rules. Quality Engineering. 16(3). 359–368. 29 indexed citations
8.
Jones, L. Allison, Charles W. Champ, & Steven E. Rigdon. (2004). The Run Length Distribution of the CUSUM with Estimated Parameters. Journal of Quality Technology. 36(1). 95–108. 118 indexed citations
9.
Champ, Charles W., et al.. (2003). Comparison of standard and individual limits Phase I Shewhart $\overline{X}$, $R$, and $S$ charts. Quality and Reliability Engineering International. 19(2). 161–170. 7 indexed citations
10.
Champ, Charles W.. (2001). Introduction to Statistical Quality Control, Fourth Edition. Journal of Quality Technology. 33(4). 524–525. 24 indexed citations
11.
Jones, L. Allison, Charles W. Champ, & Steven E. Rigdon. (2001). The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters. Technometrics. 43(2). 156–167. 215 indexed citations
12.
Champ, Charles W. & William H. Woodall. (1997). Signal Probabilities of Runs Rules Supplementing a Shewhart Control Chart. Communications in Statistics - Simulation and Computation. 26(4). 1347–1360. 15 indexed citations
13.
Lowry, Cynthia A., Charles W. Champ, & William H. Woodall. (1995). The performance of control charts for monitoring process variation. Communications in Statistics - Simulation and Computation. 24(2). 409–437. 81 indexed citations
14.
Alwan, Layth C., et al.. (1994). Study of average run lengths for supplementary runs rules in the presence of autocorrelation. Communications in Statistics - Simulation and Computation. 23(2). 373–391. 9 indexed citations
15.
Rigdon, Steven E., et al.. (1994). Design Strategies for Individuals and Moving Range Control Charts. Journal of Quality Technology. 26(4). 274–287. 45 indexed citations
16.
Lowry, Cynthia A., et al.. (1992). A Multivariate Exponentially Weighted Moving Average Control Chart. Technometrics. 34(1). 46–53. 130 indexed citations
17.
Champ, Charles W. & Steven E. Rigdon. (1992). A comparison of the Markov chain and the integral equation approaches for evaluating the run length distribution of quality control charts. Quality Engineering. 37(8). 407–408. 1 indexed citations
18.
Champ, Charles W.. (1992). Steady-state run length analysis of a shewhart quality control chart with supplementary runs rules. Communication in Statistics- Theory and Methods. 21(3). 765–777. 49 indexed citations
19.
Champ, Charles W., et al.. (1991). Evaluation of control charts under linear trend. Communication in Statistics- Theory and Methods. 20(10). 3341–3349. 26 indexed citations
20.
Champ, Charles W. & William H. Woodall. (1987). Exact Results for Shewhart Control Charts With Supplementary Runs Rules. Technometrics. 29(4). 393–399. 205 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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2026