James D. Stamey
- Statistics and Probability top 1%
- Economics and Econometrics top 10%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence
- Surgery
- Co-authors
- John W. SeamanDean M. YoungCody HamiltonDaniel P. BeaversRichard GerlachDouglas E. FariesMichael MillerKristen M. Beavers
- Topics
- Statistical Methods and Bayesian Inference (45 papers)Statistical Methods in Clinical Trials (25 papers)Statistical Methods and Inference (21 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEStatistics in Medicine
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
James D. Stamey
76 papers receiving 707 citations
Peers
Comparison fields: 5 of 145
- Statistics and Probability 358
- Economics and Econometrics 104
- Statistics, Probability and Uncertainty 101
- Artificial Intelligence 88
- Surgery 56
Countries citing papers authored by James D. Stamey
This map shows the geographic impact of James D. Stamey'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 James D. Stamey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Stamey more than expected).
Fields of papers citing papers by James D. Stamey
This network shows the impact of papers produced by James D. Stamey. 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 James D. Stamey. The network helps show where James D. Stamey may publish in the future.
Co-authorship network of co-authors of James D. Stamey
This figure shows the co-authorship network connecting the top 25 collaborators of James D. Stamey. A scholar is included among the top collaborators of James D. Stamey 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 James D. Stamey. James D. Stamey 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 | 0 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 66 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Bayesian estimation of a standardized mortality ratio with missing death certificates | 1 |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | The Effect of Specific Gravity and Growth Rate on Bending Strength of Finger-Jointed Southern Pine | 3 |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 1 |
About James D. Stamey
James D. Stamey is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 83 papers that have together received 738 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (45 papers), Statistical Methods in Clinical Trials (25 papers) and Statistical Methods and Inference (21 papers). The work is most often cited by research in Statistics and Probability (358 citations), Statistics, Probability and Uncertainty (101 citations) and Management Science and Operations Research (47 citations). James D. Stamey has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include John W. Seaman, Dean M. Young, Cody Hamilton, Daniel P. Beavers, Richard Gerlach, Douglas E. Faries, Michael Miller, Kristen M. Beavers, Dunlei Cheng and Mark Messina. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.
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.