G. E. Noether
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
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- Advanced Statistical Process Monitoring
Papers in
-
- Probabilistic and Robust Engineering Design 1
-
- Statistical Methods in Clinical Trials 1
- Co-authors
- John Evangelist Walsh (2 shared papers)Wm. R. Buckland (1 shared paper)Ph. van Elteren (1 shared paper)V. P. Godambe (1 shared paper)
- Journals
- Biometrika (2 papers)Technometrics (1 paper)Metrika (1 paper)Teaching Statistics (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
11 papers receiving 322 citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 124
- Statistics, Probability and Uncertainty 42
- Management Science and Operations Research 49
- General Decision Sciences 3
- Artificial Intelligence 56
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 | 1968 | 59 | |
| 2 | Elements of Nonparametric Statistics | 1967 | 58 |
| 3 | 1963 | 57 | |
| 4 | 1981 | 54 | |
| 5 | 1967 | 51 | |
| 6 | 1959 | 37 | |
| 7 | 1992 | 16 | |
| 8 | Cryogenic test results of the ITER TF Model Coil Test in Toska | 2004 | 6 |
| 9 | 1968 | 4 | |
| 10 | 1966 | 3 | |
| 11 | 1974 | 2 |
About G. E. Noether
G. E. Noether is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Physical and Theoretical Chemistry, Mathematical Physics and Statistical and Nonlinear Physics, having authored 11 papers that have together received 347 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (1 paper), Statistical Methods in Clinical Trials (1 paper), Probabilistic and Robust Engineering Design (1 paper), Statistical Mechanics and Entropy (1 paper), Computability, Logic, AI Algorithms (1 paper), History and advancements in chemistry (1 paper), advanced mathematical theories (1 paper) and Superconducting Materials and Applications (1 paper). The work is most often cited by research in Statistics and Probability (124 citations), Statistics, Probability and Uncertainty (42 citations), Management Science and Operations Research (49 citations), General Decision Sciences (3 citations) and Artificial Intelligence (56 citations). G. E. Noether has collaborated with scholars based in United States. Frequent co-authors include John Evangelist Walsh, Wm. R. Buckland, Ph. van Elteren and V. P. Godambe. Their work appears in journals such as Biometrika, Technometrics, Metrika, Teaching Statistics 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.