William C. Guenther
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Richard P. RunyonAudrey HaberDerek BissellV. R. R. UppuluriRussell RimmerA. HuitsonRobert F. WoolsonRichard L. Scheaffer
- Topics
- Advanced Statistical Methods and Models (25 papers)Advanced Statistical Process Monitoring (19 papers)Statistical Distribution Estimation and Applications (13 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesChinaIndia
In The Last Decade
William C. Guenther
83 papers receiving 795 citations
Peers
Comparison fields: 5 of 157
- Statistics and Probability 399
- Statistics, Probability and Uncertainty 296
- Management Science and Operations Research 107
- Artificial Intelligence 84
- Industrial and Manufacturing Engineering 56
Countries citing papers authored by William C. Guenther
This map shows the geographic impact of William C. Guenther'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 William C. Guenther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Guenther more than expected).
Fields of papers citing papers by William C. Guenther
This network shows the impact of papers produced by William C. Guenther. 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 William C. Guenther. The network helps show where William C. Guenther may publish in the future.
Co-authorship network of co-authors of William C. Guenther
This figure shows the co-authorship network connecting the top 25 collaborators of William C. Guenther. A scholar is included among the top collaborators of William C. Guenther 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 William C. Guenther. William C. Guenther is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 37 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 31 | |
| 11 | 8 | |
| 12 | 25 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 3 |
About William C. Guenther
William C. Guenther is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 87 papers that have together received 907 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (25 papers), Advanced Statistical Process Monitoring (19 papers) and Statistical Distribution Estimation and Applications (13 papers). The work is most often cited by research in Statistics and Probability (399 citations), Statistics, Probability and Uncertainty (296 citations) and Management Science and Operations Research (107 citations). William C. Guenther has collaborated with scholars based in United States, China and India. Frequent co-authors include Richard P. Runyon, Audrey Haber, Derek Bissell, V. R. R. Uppuluri, Russell Rimmer, A. Huitson, Robert F. Woolson, Richard L. Scheaffer, Leigh Boehmer and Efraim Halfon. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association 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.