William H. Swallow
- Plant Science top 5%
- Statistics and Probability top 1%
- Infectious Diseases top 10%
- Molecular Biology
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- John F. MonahanFarid KianifardS. R. SearleJacqueline M. Hughes‐OliverTodd C. WehnerSylvia M. BlankenshipDouglas C. SandersPaul V. Nelson
- Topics
- Plant Physiology and Cultivation Studies (11 papers)SARS-CoV-2 detection and testing (11 papers)Advanced Statistical Methods and Models (10 papers)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
William H. Swallow
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Plant Science 555
- Statistics and Probability 396
- Infectious Diseases 229
- Molecular Biology 215
- Statistics, Probability and Uncertainty 121
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 of co-authors of William H. Swallow
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Swallow. A scholar is included among the top collaborators of William H. Swallow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William H. Swallow. William H. Swallow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 10 | |
| 3 | 47 | |
| 4 | 41 | |
| 5 | 10 | |
| 6 | 56 | |
| 7 | Using group testing to estimate a proportion, and to test the binomial model | 1 |
| 8 | Insect enzyme damage to wheat | 19 |
| 9 | 5 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 18 | |
| 14 | 170 | |
| 15 | 37 | |
| 16 | 30 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 63 | |
| 20 | 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) and Advanced Statistical Methods and Models (10 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.