Richard K. Burdick
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 2%
- Organizational Behavior and Human Resource Management top 5%
- Marketing top 5%
- Co-authors
- Douglas C. MontgomeryConnie M. BorrorFranklin A. GraybillJanet E. KeithDonald W. JacksonBruce J. WalkerNaitee TingJorge Quiroz
- Topics
- Optimal Experimental Design Methods (18 papers)Statistical Methods in Clinical Trials (17 papers)Advanced Statistical Methods and Models (16 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesSouth KoreaAustria
In The Last Decade
Richard K. Burdick
79 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 165
- Statistics and Probability 490
- Statistics, Probability and Uncertainty 425
- Management Science and Operations Research 318
- Organizational Behavior and Human Resource Management 137
- Marketing 130
Countries citing papers authored by Richard K. Burdick
This map shows the geographic impact of Richard K. Burdick'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 Richard K. Burdick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard K. Burdick more than expected).
Fields of papers citing papers by Richard K. Burdick
This network shows the impact of papers produced by Richard K. Burdick. 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 Richard K. Burdick. The network helps show where Richard K. Burdick may publish in the future.
Co-authorship network of co-authors of Richard K. Burdick
This figure shows the co-authorship network connecting the top 25 collaborators of Richard K. Burdick. A scholar is included among the top collaborators of Richard K. Burdick 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 Richard K. Burdick. Richard K. Burdick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random and Mixed Anova Models (Asa-Siam Series on Statistics and Applied Probability 17) | 52 |
| 7 | 3 | |
| 8 | 41 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 61 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | EXAMINING THE RELATIVE IMPORTANCE OF PHYSICAL DISTRIBUTION SERVICE ELEMENTS | 29 |
| 18 | 109 | |
| 19 | 4 | |
| 20 | Predicting Grade Performance for Intermediate Accounting. | 13 |
About Richard K. Burdick
Richard K. Burdick is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (18 papers), Statistical Methods in Clinical Trials (17 papers) and Advanced Statistical Methods and Models (16 papers). The work is most often cited by research in Statistics and Probability (490 citations), Statistics, Probability and Uncertainty (425 citations) and Management Science and Operations Research (318 citations). Richard K. Burdick has collaborated with scholars based in United States, South Korea and Austria. Frequent co-authors include Douglas C. Montgomery, Connie M. Borror, Franklin A. Graybill, Janet E. Keith, Donald W. Jackson, Bruce J. Walker, Naitee Ting, Jorge Quiroz, Robert L. Sielken and Nancy Stephens. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing and Technometrics.
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.