Brian D. Williamson
- Molecular Biology
- Infectious Diseases
- Epidemiology
- Statistics and Probability top 5%
- Virology top 10%
- Co-authors
- Peter B. GilbertNoah SimonMarco CaroneYouyi FongSunwoo HanJames P. HughesK. Sreekumaran NairPéter Juhász
- Topics
- Digital Platforms and Economics (7 papers)ICT Impact and Policies (6 papers)HIV Research and Treatment (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of the American Statistical Association
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Brian D. Williamson
39 papers receiving 494 citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 96
- Infectious Diseases 83
- Epidemiology 74
- Statistics and Probability 56
- Virology 54
Countries citing papers authored by Brian D. Williamson
This map shows the geographic impact of Brian D. Williamson'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 Brian D. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Williamson more than expected).
Fields of papers citing papers by Brian D. Williamson
This network shows the impact of papers produced by Brian D. Williamson. 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 Brian D. Williamson. The network helps show where Brian D. Williamson may publish in the future.
Co-authorship network of co-authors of Brian D. Williamson
This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Williamson. A scholar is included among the top collaborators of Brian D. Williamson 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 Brian D. Williamson. Brian D. Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 14 | |
| 14 | 40 | |
| 15 | 54 | |
| 16 | 27 | |
| 17 | 35 | |
| 18 | Nonparametric variable importance using an augmented neural network with multi-task learning | 2 |
| 19 | Spectrum Allocation, Spectrum Commons and Public Goods: the Role of the Market | 5 |
| 20 | 10 |
About Brian D. Williamson
Brian D. Williamson is a scholar working on Statistics and Probability, Virology and Media Technology, having authored 44 papers that have together received 501 indexed citations. Recurring topics across this work include Digital Platforms and Economics (7 papers), ICT Impact and Policies (6 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Virology (54 citations), Statistics and Probability (56 citations) and Clinical Biochemistry (43 citations). Brian D. Williamson has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Peter B. Gilbert, Noah Simon, Marco Carone, Youyi Fong, Sunwoo Han, James P. Hughes, K. Sreekumaran Nair, Péter Juhász, Abdul Jaleel and Panagiotis Halvatsiotis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of the American Statistical Association.
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.