Francis McKay
About
In The Last Decade
Francis McKay
11 papers receiving 106 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 48
- Health Informatics 44
- Radiology, Nuclear Medicine and Imaging 35
- Public Health, Environmental and Occupational Health 21
- Safety Research 12
Countries citing papers authored by Francis McKay
This map shows the geographic impact of Francis McKay'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 Francis McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis McKay more than expected).
Fields of papers citing papers by Francis McKay
This network shows the impact of papers produced by Francis McKay. 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 Francis McKay. The network helps show where Francis McKay may publish in the future.
Co-authorship network of co-authors of Francis McKay
This figure shows the co-authorship network connecting the top 25 collaborators of Francis McKay. A scholar is included among the top collaborators of Francis McKay 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 Francis McKay. Francis McKay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 41 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 |
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.