Kate Williams
- Sociology and Political Science
- Political Science and International Relations top 10%
- General Health Professions
- Statistics, Probability and Uncertainty top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Jonathan GrantTim KurzNgaire DonaghueJenny M. LewisJ. L. AndersonFrancis NarinShona CrabbDominic Olivastro
- Topics
- scientometrics and bibliometrics research (7 papers)Evaluation and Performance Assessment (6 papers)Public Policy and Administration Research (6 papers)
- Cited by
- Statistics, Probability and UncertaintyPublic AdministrationManagement Science and Operations Research
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Kate Williams
18 papers receiving 249 citations
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 56
- Political Science and International Relations 53
- General Health Professions 47
- Statistics, Probability and Uncertainty 46
- Public Health, Environmental and Occupational Health 42
Countries citing papers authored by Kate Williams
This map shows the geographic impact of Kate 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 Kate Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Williams more than expected).
Fields of papers citing papers by Kate Williams
This network shows the impact of papers produced by Kate 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 Kate Williams. The network helps show where Kate Williams may publish in the future.
Co-authorship network of co-authors of Kate Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Kate Williams. A scholar is included among the top collaborators of Kate 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 Kate Williams. Kate 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 52 | |
| 13 | 11 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | 39 | |
| 17 | 31 | |
| 18 | 19 | |
| 19 | Road safety behaviour of adolescent children in groups : final report | 3 |
| 20 | 2 |
About Kate Williams
Kate Williams is a scholar working on Public Administration, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 23 papers that have together received 264 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (7 papers), Evaluation and Performance Assessment (6 papers) and Public Policy and Administration Research (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (46 citations), Public Administration (16 citations) and Management Science and Operations Research (42 citations). Kate Williams has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Jonathan Grant, Tim Kurz, Ngaire Donaghue, Jenny M. Lewis, J. L. Anderson, Francis Narin, Shona Crabb, Dominic Olivastro, Mark Wahlgren Summers and P. A. J. Waddington. Their work appears in journals such as PLoS ONE, Higher Education and Psychology of Women Quarterly.
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.