Bryan L. Williams
- Plant Science top 10%
- Health, Toxicology and Mutagenesis top 5%
- Sociology and Political Science top 10%
- Pollution top 10%
- Cancer Research
- Co-authors
- Melina S. MagsumbolDana Boyd BarrSylvia BrownLarry L. NeedhamMichael GreenbergRalph D. WhiteheadLee-Yang WongAnders Olsson
- Topics
- Risk Perception and Management (8 papers)Climate Change Communication and Perception (6 papers)Disaster Management and Resilience (5 papers)
- Journals
- American Journal of Public HealthEnvironmental Health PerspectivesSocial Science & Medicine
- Partner nations
- United StatesNew ZealandNetherlands
In The Last Decade
Bryan L. Williams
33 papers receiving 875 citations
Peers
Comparison fields: 5 of 142
- Plant Science 305
- Health, Toxicology and Mutagenesis 291
- Sociology and Political Science 203
- Pollution 116
- Cancer Research 90
Countries citing papers authored by Bryan L. Williams
This map shows the geographic impact of Bryan L. Williams'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 Bryan L. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan L. Williams more than expected).
Fields of papers citing papers by Bryan L. Williams
This network shows the impact of papers produced by Bryan L. Williams. 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 Bryan L. Williams. The network helps show where Bryan L. Williams may publish in the future.
Co-authorship network of co-authors of Bryan L. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan L. Williams. A scholar is included among the top collaborators of Bryan L. Williams 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 Bryan L. Williams. Bryan L. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 31 | |
| 4 | 306 | |
| 5 | 7 | |
| 6 | 58 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 53 | |
| 10 | 43 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | Frequency of Use and Perceived Credibility of Information Sources and Variations by Socioeconomic Factors among Savannah River Stakeholders | 1 |
| 14 | 45 | |
| 15 | 14 | |
| 16 | Development of Performance-Based Assessements | 1 |
| 17 | 21 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 20 |
About Bryan L. Williams
Bryan L. Williams is a scholar working on Speech and Hearing, Health, Toxicology and Mutagenesis and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 920 indexed citations. Recurring topics across this work include Risk Perception and Management (8 papers), Climate Change Communication and Perception (6 papers) and Disaster Management and Resilience (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (291 citations), Pollution (116 citations) and Plant Science (305 citations). Bryan L. Williams has collaborated with scholars based in United States, New Zealand and Netherlands. Frequent co-authors include Melina S. Magsumbol, Dana Boyd Barr, Sylvia Brown, Larry L. Needham, Michael Greenberg, Ralph D. Whitehead, Lee-Yang Wong, Anders Olsson, Samuel E. Baker and Su Young Kang. Their work appears in journals such as American Journal of Public Health, Environmental Health Perspectives and Social Science & Medicine.
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.