Warren Clayton
About
In The Last Decade
Warren Clayton
6 papers receiving 297 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 169
- Rehabilitation 118
- Occupational Therapy 56
- Artificial Intelligence 47
- Health Information Management 46
Countries citing papers authored by Warren Clayton
This map shows the geographic impact of Warren Clayton'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 Warren Clayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren Clayton more than expected).
Fields of papers citing papers by Warren Clayton
This network shows the impact of papers produced by Warren Clayton. 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 Warren Clayton. The network helps show where Warren Clayton may publish in the future.
Co-authorship network of co-authors of Warren Clayton
This figure shows the co-authorship network connecting the top 25 collaborators of Warren Clayton. A scholar is included among the top collaborators of Warren Clayton 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 Warren Clayton. Warren Clayton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Type 2 diabetes risk forecasting from EMR data using machine learning. | 80 |
| 2 | 11 | |
| 3 | 31 | |
| 4 | 165 | |
| 5 | 1 | |
| 6 | 34 |
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.