E. J. Gumbel
- Statistics and Probability top 0.5%
- Finance top 2%
- Global and Planetary Change top 5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 2%
- Co-authors
- K. D. TocherAlfred M. FreudenthalJ. Arthur GreenwoodDavid DurandBradford F. KimballF. N. DavidNeil I. GoldsteinA. F. Jenkinson
- Topics
- Statistical Distribution Estimation and Applications (8 papers)Bayesian Methods and Mixture Models (5 papers)Advanced Statistical Methods and Models (5 papers)
- Partner nations
- United States
In The Last Decade
E. J. Gumbel
37 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Statistics and Probability 953
- Finance 474
- Global and Planetary Change 409
- Statistics, Probability and Uncertainty 409
- Management Science and Operations Research 310
Countries citing papers authored by E. J. Gumbel
This map shows the geographic impact of E. J. Gumbel'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 E. J. Gumbel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Gumbel more than expected).
Fields of papers citing papers by E. J. Gumbel
This network shows the impact of papers produced by E. J. Gumbel. 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 E. J. Gumbel. The network helps show where E. J. Gumbel may publish in the future.
Co-authorship network of co-authors of E. J. Gumbel
This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Gumbel. A scholar is included among the top collaborators of E. J. Gumbel 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 E. J. Gumbel. E. J. Gumbel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 36 | |
| 6 | 40 | |
| 7 | 37 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 30 | |
| 11 | 169 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | Statistical Theory of Extreme Values and Some Practical Applications.breakdown → | 431 |
| 15 | Statistical Theory of Droughts | 19 |
| 16 | 90 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 81 | |
| 20 | 1 |
About E. J. Gumbel
E. J. Gumbel is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (8 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (953 citations), Statistics, Probability and Uncertainty (409 citations) and Finance (474 citations). E. J. Gumbel has collaborated with scholars based in United States. Frequent co-authors include K. D. Tocher, Alfred M. Freudenthal, J. Arthur Greenwood, David Durand, Bradford F. Kimball, F. N. David, Neil I. Goldstein, A. F. Jenkinson, G. W. Lennon and Thomas S. Ferguson. Their work appears in journals such as Journal of the American Statistical Association, Journal of Applied Physics and Econometrica.
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.