Lynne Stokes
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Peter J. HaasJeffrey F. NaughtonS. SeshadriJohan LimXinlei WangJing CaoMin ChenLaura T. Starks
- Topics
- Statistical Methods and Bayesian Inference (10 papers)Survey Sampling and Estimation Techniques (8 papers)Statistical Distribution Estimation and Applications (5 papers)
- Cited by
- Statistics and ProbabilityTourism, Leisure and Hospitality ManagementStatistics, Probability and Uncertainty
- Journals
- JAMASHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesSouth KoreaRussia
In The Last Decade
Lynne Stokes
35 papers receiving 862 citations
Peers
Comparison fields: 5 of 139
- Statistics and Probability 363
- Statistics, Probability and Uncertainty 183
- Computer Networks and Communications 180
- Artificial Intelligence 176
- Signal Processing 164
Countries citing papers authored by Lynne Stokes
This map shows the geographic impact of 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 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 Lynne Stokes more than expected).
Fields of papers citing papers by Lynne Stokes
This network shows the impact of papers produced by 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 Lynne Stokes. The network helps show where Lynne Stokes may publish in the future.
Co-authorship network of co-authors of Lynne Stokes
This figure shows the co-authorship network connecting the top 25 collaborators of Lynne Stokes. A scholar is included among the top collaborators of 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 Lynne Stokes. 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 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | Introduction to Variance Estimation (2nd ed.) | 2 |
| 12 | 42 | |
| 13 | 39 | |
| 14 | 17 | |
| 15 | 61 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | Sampling-Based Estimation of the Number of Distinct Values of an Attribute | 184 |
| 19 | 142 | |
| 20 | 6 |
About Lynne Stokes
Lynne Stokes is a scholar working on Statistics and Probability, Tourism, Leisure and Hospitality Management and General Decision Sciences, having authored 35 papers that have together received 938 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Survey Sampling and Estimation Techniques (8 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (363 citations), Tourism, Leisure and Hospitality Management (49 citations) and Statistics, Probability and Uncertainty (183 citations). Lynne Stokes has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Johan Lim, Xinlei Wang, Jing Cao, Min Chen, Jing Cao, Laura T. Starks and Joan Lamm‐Tennant. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.