Kadija Ferryman
About
In The Last Decade
Kadija Ferryman
20 papers receiving 321 citations
Peers
Comparison fields: 5 of 82
- Public Health, Environmental and Occupational Health 124
- Genetics 90
- Health Informatics 85
- General Health Professions 53
- Artificial Intelligence 47
Countries citing papers authored by Kadija Ferryman
This map shows the geographic impact of Kadija Ferryman'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 Kadija Ferryman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kadija Ferryman more than expected).
Fields of papers citing papers by Kadija Ferryman
This network shows the impact of papers produced by Kadija Ferryman. 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 Kadija Ferryman. The network helps show where Kadija Ferryman may publish in the future.
Co-authorship network of co-authors of Kadija Ferryman
This figure shows the co-authorship network connecting the top 25 collaborators of Kadija Ferryman. A scholar is included among the top collaborators of Kadija Ferryman 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 Kadija Ferryman. Kadija Ferryman 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 | 6 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | Ethical Machine Learning in Health | 5 |
| 14 | 24 | |
| 15 | 33 | |
| 16 | 43 | |
| 17 | 21 | |
| 18 | 25 | |
| 19 | 2 | |
| 20 | 90 |
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.