William R. Schucany
- Statistics and Probability top 0.2%
- Artificial Intelligence top 2%
- Finance top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 2%
- Co-authors
- William C. ParrJohn R. MichaelLori A. ThombsH. L. GrayJohn SommersWayne A. WoodwardJohn E. BoyerHon Keung Tony Ng
- Topics
- Advanced Statistical Methods and Models (37 papers)Statistical Methods and Inference (36 papers)Statistical Methods and Bayesian Inference (25 papers)
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
William R. Schucany
103 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 166
- Statistics and Probability 1.3k
- Artificial Intelligence 507
- Finance 355
- Statistics, Probability and Uncertainty 341
- Management Science and Operations Research 333
Countries citing papers authored by William R. Schucany
This map shows the geographic impact of William R. Schucany'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 R. Schucany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Schucany more than expected).
Fields of papers citing papers by William R. Schucany
This network shows the impact of papers produced by William R. Schucany. 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 R. Schucany. The network helps show where William R. Schucany may publish in the future.
Co-authorship network of co-authors of William R. Schucany
This figure shows the co-authorship network connecting the top 25 collaborators of William R. Schucany. A scholar is included among the top collaborators of William R. Schucany 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 R. Schucany. William R. Schucany 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 | 10 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 42 | |
| 12 | 28 | |
| 13 | 1 | |
| 14 | The Jackknife: A Bibliography. | 2 |
| 15 | 23 | |
| 16 | On Wolfe's Test for Related Correlation Coefficients. | 0 |
| 17 | 55 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 8 |
About William R. Schucany
William R. Schucany is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (37 papers), Statistical Methods and Inference (36 papers) and Statistical Methods and Bayesian Inference (25 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Statistics, Probability and Uncertainty (341 citations) and Finance (355 citations). William R. Schucany has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include William C. Parr, John R. Michael, Lori A. Thombs, H. L. Gray, John Sommers, Wayne A. Woodward, John E. Boyer, Hon Keung Tony Ng, M. P. Wand and William H. Frawley. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage 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.