E. J. Gumbel

38 papers and 4.4k indexed citations i.

About

E. J. Gumbel is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, E. J. Gumbel has authored 38 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 3 papers in Finance. Recurrent topics in E. J. Gumbel’s work include Statistical Distribution Estimation and Applications (8 papers), Advanced Statistical Methods and Models (5 papers) and Bayesian Methods and Mixture Models (5 papers). E. J. Gumbel is often cited by papers focused on Statistical Distribution Estimation and Applications (8 papers), Advanced Statistical Methods and Models (5 papers) and Bayesian Methods and Mixture Models (5 papers). E. J. Gumbel collaborates with scholars based in United States. E. J. Gumbel's 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 John W. Tukey and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Applied Physics and Econometrica.

In The Last Decade

Co-authorship network of co-authors of E. J. Gumbel i

Fields of papers citing papers by E. J. Gumbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by E. J. Gumbel

Since Specialization
Citations

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).

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.

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