Morris L. Eaton
- Statistics and Probability top 0.2%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 1%
- Applied Mathematics top 2%
- Statistics, Probability and Uncertainty top 1%
- Co-authors
- Leon Jay GleserY. L. TongF. H. C. MarriottSamuel KotzMichael D. PerlmanNorman L. JohnsonThomas J. PageTakeaki Kariya
- Topics
- Advanced Statistical Methods and Models (19 papers)Bayesian Methods and Mixture Models (12 papers)Statistical Distribution Estimation and Applications (10 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesTaiwanDenmark
In The Last Decade
Morris L. Eaton
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 138
- Statistics and Probability 1.2k
- Artificial Intelligence 536
- Management Science and Operations Research 446
- Applied Mathematics 279
- Statistics, Probability and Uncertainty 270
Countries citing papers authored by Morris L. Eaton
This map shows the geographic impact of Morris L. Eaton'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 Morris L. Eaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morris L. Eaton more than expected).
Fields of papers citing papers by Morris L. Eaton
This network shows the impact of papers produced by Morris L. Eaton. 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 Morris L. Eaton. The network helps show where Morris L. Eaton may publish in the future.
Co-authorship network of co-authors of Morris L. Eaton
This figure shows the co-authorship network connecting the top 25 collaborators of Morris L. Eaton. A scholar is included among the top collaborators of Morris L. Eaton 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 Morris L. Eaton. Morris L. Eaton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 61 | |
| 3 | 15 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 84 | |
| 10 | 98 | |
| 11 | 6 | |
| 12 | Testing Problems with Additional or Missing Data | 1 |
| 13 | N-Dimensional Versions of Some Symmetric Univariate Distributions | 2 |
| 14 | 14 | |
| 15 | 247 | |
| 16 | 7 | |
| 17 | 19 | |
| 18 | 36 | |
| 19 | 3 | |
| 20 | 14 |
About Morris L. Eaton
Morris L. Eaton is a scholar working on Statistics and Probability, Applied Mathematics and Discrete Mathematics and Combinatorics, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (19 papers), Bayesian Methods and Mixture Models (12 papers) and Statistical Distribution Estimation and Applications (10 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (270 citations) and Management Science and Operations Research (446 citations). Morris L. Eaton has collaborated with scholars based in United States, Taiwan and Denmark. Frequent co-authors include Leon Jay Gleser, Y. L. Tong, F. H. C. Marriott, Samuel Kotz, Michael D. Perlman, Norman L. Johnson, Thomas J. Page, Takeaki Kariya, David E. Tyler and Robb J. Muirhead. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing Research and Biometrika.
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.