S. Lynne Stokes
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Ecology
- Co-authors
- Thomas W. SagerBetsy S. GreenbergJing CaoGeorge T. DuncanJames D. NicholsJames E. HinesMichael J. ConroyBryon Adinoff
- Topics
- Advanced Statistical Methods and Models (8 papers)Statistical Methods and Bayesian Inference (7 papers)Advanced Statistical Process Monitoring (7 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
S. Lynne Stokes
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 797
- Statistics, Probability and Uncertainty 505
- Management Science and Operations Research 124
- Artificial Intelligence 94
- Ecology 82
Countries citing papers authored by S. Lynne Stokes
This map shows the geographic impact of S. Lynne Stokes'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 S. Lynne Stokes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lynne Stokes more than expected).
Fields of papers citing papers by S. Lynne Stokes
This network shows the impact of papers produced by S. Lynne Stokes. 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 S. Lynne Stokes. The network helps show where S. Lynne Stokes may publish in the future.
Co-authorship network of co-authors of S. Lynne Stokes
This figure shows the co-authorship network connecting the top 25 collaborators of S. Lynne Stokes. A scholar is included among the top collaborators of S. Lynne Stokes 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 S. Lynne Stokes. S. Lynne Stokes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 50 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | USING AUXILIARY INFORMATION FOR IMPROVING ESTIMATION IN THE NUMBER OF SPECIES PROBLEM | 1 |
| 10 | 69 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 35 | |
| 14 | 6 | |
| 15 | 49 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 9 | |
| 20 | 54 |
About S. Lynne Stokes
S. Lynne Stokes is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Statistics and Probability (797 citations), Statistics, Probability and Uncertainty (505 citations) and Management Science and Operations Research (124 citations). S. Lynne Stokes has collaborated with scholars based in United States. Frequent co-authors include Thomas W. Sager, Betsy S. Greenberg, Jing Cao, George T. Duncan, James D. Nichols, James E. Hines, Michael J. Conroy, Bryon Adinoff, Andrew Wright and J. Arthur Gillaspy. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.