G. E. Noether
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
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- Advanced Statistical Process Monitoring
Papers in
-
- advanced mathematical theories 1
-
- Statistical Mechanics and Entropy 1
- Co-authors
- John E. Walsh (2 shared papers)W. R. Buckland (1 shared paper)Ph. van Elteren (1 shared paper)V. P. Godambe (1 shared paper)
- Journals
- Biometrika (2 papers)Technometrics (1 paper)Teaching Statistics (1 paper)Metrika (1 paper)Journal of the Royal Statistical Society Series D (The Statistician) (1 paper)
- Partner nations
- United States
In The Last Decade
G. E. Noether
9 papers receiving 272 citations
Peers
Comparison fields: 5 of 115
- Statistics and Probability 108
- Statistics, Probability and Uncertainty 37
- Management Science and Operations Research 44
- Computational Mathematics 1
- General Decision Sciences 3
Countries citing papers authored by G. E. Noether
This map shows the geographic impact of G. E. Noether'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 G. E. Noether with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. E. Noether more than expected).
Fields of papers citing papers by G. E. Noether
This network shows the impact of papers produced by G. E. Noether. 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 G. E. Noether. The network helps show where G. E. Noether may publish in the future.
Co-authors
The 4 scholars most cited alongside G. E. Noether, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1963 | 54 | |
| 2 | Elements of Nonparametric Statistics | 1967 | 54 |
| 3 | 1981 | 53 | |
| 4 | 1968 | 52 | |
| 5 | 1967 | 47 | |
| 6 | 1959 | 30 | |
| 7 | 1968 | 3 | |
| 8 | 1966 | 3 | |
| 9 | 1974 | 1 |
About G. E. Noether
G. E. Noether is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 297 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (1 paper), Computability, Logic, AI Algorithms (1 paper), Statistical Methods in Clinical Trials (1 paper), Optimal Experimental Design Methods (1 paper), advanced mathematical theories (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Statistics and Probability (108 citations), Statistics, Probability and Uncertainty (37 citations), Management Science and Operations Research (44 citations), Computational Mathematics (1 citation) and General Decision Sciences (3 citations). G. E. Noether has collaborated with scholars based in United States. Frequent co-authors include John E. Walsh, W. R. Buckland, Ph. van Elteren and V. P. Godambe. Their work appears in journals such as Biometrika, Technometrics, Teaching Statistics, Metrika and Journal of the Royal Statistical Society Series D (The Statistician).
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.