E. P. King
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
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- Advanced Statistical Process Monitoring
Papers in
-
- Advanced Statistical Methods and Models 2
- Statistical Methods in Clinical Trials 2
- Statistical Methods and Bayesian Inference 1
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- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Eugene Lukács (1 shared paper)Walter Offen (1 shared paper)Richard F. Bergstrom (1 shared paper)John T. Callaghan (1 shared paper)Boyd D. Obermeyer (1 shared paper)Lorinda Simms (1 shared paper)Christine Redman (1 shared paper)C. B. Sampson (1 shared paper)
- Journals
- Journal of the American Statistical Association (3 papers)Biometrics (2 papers)Management Science (1 paper)Biometrika (1 paper)Clinical Pharmacology & Therapeutics (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
E. P. King
11 papers receiving 349 citations
Peers
Comparison fields: 5 of 144
- Statistics and Probability 90
- Statistics, Probability and Uncertainty 45
- Orthodontics 17
- Management Science and Operations Research 33
- Analytical Chemistry 19
Countries citing papers authored by E. P. King
This map shows the geographic impact of E. P. King'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. P. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. P. King more than expected).
Fields of papers citing papers by E. P. King
This network shows the impact of papers produced by E. P. King. 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. P. King. The network helps show where E. P. King may publish in the future.
Co-authors
The 8 scholars most cited alongside E. P. King, 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 | 1953 | 230 | |
| 2 | 1954 | 67 | |
| 3 | 1985 | 29 | |
| 4 | 1953 | 23 | |
| 5 | 1963 | 16 | |
| 6 | 1953 | 13 | |
| 7 | 1975 | 6 | |
| 8 | 1964 | 6 | |
| 9 | 1953 | 6 | |
| 10 | 1952 | 5 | |
| 11 | 1965 | 3 | |
| 12 | 1954 | 2 |
About E. P. King
E. P. King is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Pharmacology and Physical and Theoretical Chemistry, having authored 12 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers), Statistical Methods in Clinical Trials (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Optimal Experimental Design Methods (1 paper), Pharmacy and Medical Practices (1 paper), Statistical Methods and Bayesian Inference (1 paper), Advanced Statistical Process Monitoring (1 paper) and History and advancements in chemistry (1 paper). The work is most often cited by research in Statistics and Probability (90 citations), Statistics, Probability and Uncertainty (45 citations), Orthodontics (17 citations), Management Science and Operations Research (33 citations) and Analytical Chemistry (19 citations). E. P. King has collaborated with scholars based in United States and Egypt. Frequent co-authors include Eugene Lukács, Walter Offen, Richard F. Bergstrom, John T. Callaghan, Boyd D. Obermeyer, Lorinda Simms, Christine Redman and C. B. Sampson. Their work appears in journals such as Journal of the American Statistical Association, Biometrics, Management Science, Biometrika and Clinical Pharmacology & Therapeutics.
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.