Gottfried E. Noether
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models 10
- Statistical Methods and Inference 6
- Statistical Distribution Estimation and Applications 3
- Statistical Methods in Clinical Trials 3
- Statistics Education and Methodologies 2
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- Advanced Statistical Process Monitoring 5
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- Forecasting Techniques and Applications 2
- Artificial Intelligence top 10%
- Data Analysis with R 2
- Co-authors
- David L. FarnsworthChris LeachElizabeth YenE. J. GodolphinI. Richard SavageJ.C. DalyJohn E. WalshUlrich Gräf
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Journal of the American Statistical Association (23 papers)The American Statistician (8 papers)Technometrics (4 papers)
- Partner nations
- United StatesAustriaSouth Korea
In The Last Decade
Gottfried E. Noether
47 papers receiving 846 citations
Peers
Comparison fields: 5 of 180
- Statistics and Probability 360
- Statistics, Probability and Uncertainty 94
- Management Science and Operations Research 95
- General Decision Sciences 11
- Artificial Intelligence 105
Countries citing papers authored by Gottfried E. Noether
This map shows the geographic impact of Gottfried 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 Gottfried 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 Gottfried E. Noether more than expected).
Fields of papers citing papers by Gottfried E. Noether
This network shows the impact of papers produced by Gottfried 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 Gottfried E. Noether. The network helps show where Gottfried E. Noether may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Gottfried 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 | 1987 | 2 | |
| 2 | 1987 | 179 | |
| 3 | 1984 | 6 | |
| 4 | 1979 | 15 | |
| 5 | 1977 | 20 | |
| 6 | 1973 | 42 | |
| 7 | 1973 | 4 | |
| 8 | 1973 | 21 | |
| 9 | 1972 | 4 | |
| 10 | 1972 | 0 | |
| 11 | 1972 | 1 | |
| 12 | 1970 | 11 | |
| 13 | 1968 | 64 | |
| 14 | 1963 | 7 | |
| 15 | 1963 | 9 | |
| 16 | 1960 | 15 | |
| 17 | 1960 | 1 | |
| 18 | 1957 | 35 | |
| 19 | 1956 | 6 | |
| 20 | 1955 | 1 |
About Gottfried E. Noether
Gottfried E. Noether is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 50 papers that have together received 975 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Inference (6 papers), Advanced Statistical Process Monitoring (5 papers), Statistical Distribution Estimation and Applications (3 papers), Statistical Methods in Clinical Trials (3 papers), Statistics Education and Methodologies (2 papers), Data Analysis with R (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Statistics and Probability (360 citations), Statistics, Probability and Uncertainty (94 citations) and Management Science and Operations Research (95 citations). Gottfried E. Noether has collaborated with scholars based in United States, Austria and South Korea. Frequent co-authors include David L. Farnsworth, Chris Leach, Elizabeth Yen, E. J. Godolphin, I. Richard Savage, J.C. Daly, John E. Walsh, Ulrich Gräf, Ralph B. D’Agostino and Stephen M. Stigler. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician, Technometrics, Integral Equations and Operator Theory and SIAM Review.
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.