E. L. Frome
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 4
- Statistical Methods and Bayesian Inference 2
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 12
- Chemical Health and Safety top 10%
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- Radiation Dose and Imaging 4
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- Optimization and Mathematical Programming 4
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- DNA Repair Mechanisms 3
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- Air Quality and Health Impacts 2
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- Bayesian Methods and Mixture Models 2
- Co-authors
- L. Gayle LittlefieldRonald D. ArmstrongPing YuA. CharnesAnne M. SayerDavid S. KungShirley P. ColyerAnthony P. Polednak
- Journals
- Journal of the American Statistical Association (4 papers)Technometrics (2 papers)American Journal of Public Health (1 paper)
- Partner nations
- United States
In The Last Decade
E. L. Frome
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 179
- Cancer Research 235
- Radiological and Ultrasound Technology 79
- Chemical Health and Safety 8
- Radiology, Nuclear Medicine and Imaging 210
Countries citing papers authored by E. L. Frome
This map shows the geographic impact of E. L. Frome'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. L. Frome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. L. Frome more than expected).
Fields of papers citing papers by E. L. Frome
This network shows the impact of papers produced by E. L. Frome. 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. L. Frome. The network helps show where E. L. Frome may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. L. Frome, 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 | 1996 | 11 | |
| 2 | 1993 | 17 | |
| 3 | 1991 | 2 | |
| 4 | 1989 | 110 | |
| 5 | 1988 | 69 | |
| 6 | 1987 | 13 | |
| 7 | 1986 | 22 | |
| 8 | 1984 | 2 | |
| 9 | Algorithm AS 171: Fisher's Exact Variance Test for the Poisson Distribution | 1982 | 2 |
| 10 | 1982 | 7 | |
| 11 | 1981 | 11 | |
| 12 | 1981 | 1 | |
| 13 | 1980 | 6 | |
| 14 | 1979 | 11 | |
| 15 | 1976 | 17 | |
| 16 | 1976 | 33 | |
| 17 | 1976 | 9 | |
| 18 | 1976 | 146 | |
| 19 | 1974 | 2 | |
| 20 | Power spectrum of the impedance pneumograph - A data reduction system producing an analytical parameter of potential clinical usefulness. | 1969 | 1 |
About E. L. Frome
E. L. Frome is a scholar working on Statistics and Probability, Cancer Research and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (12 papers), Radiation Dose and Imaging (4 papers), Advanced Statistical Methods and Models (4 papers), Optimization and Mathematical Programming (4 papers), DNA Repair Mechanisms (3 papers), Statistical Methods and Bayesian Inference (2 papers), Air Quality and Health Impacts (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Statistics and Probability (179 citations), Cancer Research (235 citations) and Radiological and Ultrasound Technology (79 citations). E. L. Frome has collaborated with scholars based in United States. Frequent co-authors include L. Gayle Littlefield, Ronald D. Armstrong, Ping Yu, A. Charnes, Anne M. Sayer, David S. Kung, Shirley P. Colyer, Anthony P. Polednak, William G. Tankersley and Donna L. Cragle. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and American Journal of Public Health.
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.