Christopher Y. K. Williams
- Clinical Psychology
- Health top 10%
- General Health Professions
- Health Informatics top 2%
- Artificial Intelligence
- Co-authors
- A TownsonAtul J. ButteMilan KapurJulieta GalanteJuliet A. Usher‐SmithSarah GentryVeronica PhillipsRebecca Nunn
- Topics
- Artificial Intelligence in Healthcare and Education (5 papers)Machine Learning in Healthcare (3 papers)Clinical Reasoning and Diagnostic Skills (3 papers)
- Journals
- Nature MedicineNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Christopher Y. K. Williams
19 papers receiving 352 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Clinical Psychology 104
- Health 91
- General Health Professions 69
- Health Informatics 68
- Artificial Intelligence 55
Countries citing papers authored by Christopher Y. K. Williams
This map shows the geographic impact of Christopher Y. K. 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 Christopher Y. K. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Y. K. Williams more than expected).
Fields of papers citing papers by Christopher Y. K. Williams
This network shows the impact of papers produced by Christopher Y. K. 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 Christopher Y. K. Williams. The network helps show where Christopher Y. K. Williams may publish in the future.
Co-authorship network of co-authors of Christopher Y. K. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Y. K. Williams. A scholar is included among the top collaborators of Christopher Y. K. 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 Christopher Y. K. Williams. Christopher Y. K. 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 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 34 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 61 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | Interventions to reduce social isolation and loneliness during COVID-19 physical distancing measures: A rapid systematic reviewbreakdown → | 169 |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | 4 |
About Christopher Y. K. Williams
Christopher Y. K. Williams is a scholar working on Health Informatics, Family Practice and Transplantation, having authored 20 papers that have together received 359 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). The work is most often cited by research in Health Informatics (68 citations), Health (91 citations) and Neuropsychology and Physiological Psychology (13 citations). Christopher Y. K. Williams has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include A Townson, Atul J. Butte, Milan Kapur, Julieta Galante, Juliet A. Usher‐Smith, Sarah Gentry, Veronica Phillips, Rebecca Nunn, Brenda Y. Miao and Aaron E. Kornblith. Their work appears in journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.
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.