William H. Swallow
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models 10
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 4
- Horticulture top 5%
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- Advanced Statistical Process Monitoring 5
- Plant Science top 5%
- Plant Physiology and Cultivation Studies 11
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing 11
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- Advanced biosensing and bioanalysis techniques 5
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- Biosensors and Analytical Detection 4
- Co-authors
- John F. MonahanFarid KianifardS. R. SearleJacqueline M. Hughes‐OliverTodd C. WehnerSylvia M. BlankenshipDouglas C. SandersPaul V. Nelson
- Journals
- Journal of the American Statistical Association (4 papers)Technometrics (8 papers)Biometrics (5 papers)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
William H. Swallow
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Statistics and Probability 396
- Horticulture 24
- Statistics, Probability and Uncertainty 121
- Plant Science 555
- Infectious Diseases 229
Countries citing papers authored by William H. Swallow
This map shows the geographic impact of William H. Swallow'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 William H. Swallow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Swallow more than expected).
Fields of papers citing papers by William H. Swallow
This network shows the impact of papers produced by William H. Swallow. 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 William H. Swallow. The network helps show where William H. Swallow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William H. Swallow, 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 | 2012 | 13 | |
| 2 | 2003 | 10 | |
| 3 | 1999 | 47 | |
| 4 | 1996 | 41 | |
| 5 | 1995 | 10 | |
| 6 | 1994 | 56 | |
| 7 | Using group testing to estimate a proportion, and to test the binomial model | 1991 | 1 |
| 8 | Insect enzyme damage to wheat | 1991 | 19 |
| 9 | 1991 | 5 | |
| 10 | 1990 | 27 | |
| 11 | 1988 | 6 | |
| 12 | 1987 | 20 | |
| 13 | 1986 | 18 | |
| 14 | 1984 | 170 | |
| 15 | 1984 | 37 | |
| 16 | 1984 | 30 | |
| 17 | 1981 | 3 | |
| 18 | 1981 | 8 | |
| 19 | 1978 | 63 | |
| 20 | 1976 | 12 |
About William H. Swallow
William H. Swallow is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Physiology and Cultivation Studies (11 papers), SARS-CoV-2 detection and testing (11 papers), Advanced Statistical Methods and Models (10 papers), Advanced Statistical Process Monitoring (5 papers), Statistical Methods and Inference (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Biosensors and Analytical Detection (4 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (396 citations), Horticulture (24 citations) and Statistics, Probability and Uncertainty (121 citations). William H. Swallow has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include John F. Monahan, Farid Kianifard, S. R. Searle, Jacqueline M. Hughes‐Oliver, Todd C. Wehner, Sylvia M. Blankenship, Douglas C. Sanders, Paul V. Nelson, Peter Cressey and D. Every. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.